H-6752: Remove the Linear and Notion MCP servers and ban install scripts by claude[bot] · Pull Request #9183 · hashintel/hash

claude · 2026-08-10T09:25:53Z

🌟 What is the purpose of this PR?

Removes the two in-repo MCP servers (Linear and Notion), retires the postinstall mechanism, and then bans install scripts outright so it cannot come back.

Before: a plain yarn install ended by running turbo run postinstall, a pass over 87 task nodes whose only real work was building two MCP servers that nothing in the monorepo consumes. (Each server also declared its own postinstall, so Yarn built them once directly and the root turbo pass built them again.) Nothing prevented a new install script being added tomorrow.

After: install does no turbo work, the servers are gone, and any workspace that declares preinstall, install, postinstall or prepare now fails yarn lint:constraints. Removing the scripts was the cleanup; the constraint is what makes it stick.

🔗 Related links

Linear: H-6752

🔍 What does this change?

Removing the servers and the mechanism

deletes apps/mcp/ — @apps/linear-mcp and @apps/notion-mcp, plus the folder README
removes the postinstall script from the root package.json
removes the postinstall task (and the now-empty // Install commands group) from the root turbo.json
updates yarn.lock — drops the two workspace entries, their dependencies (@modelcontextprotocol/sdk, @notionhq/client, notion-to-md, chokidar-cli, shx) and the transitive packages that become unreferenced
drops the mention of the bundled servers from .config/_examples/README.md

Banning install scripts

adds enforceNoInstallScripts to yarn.config.cjs, rejecting preinstall, install, postinstall and prepare in every workspace, the root included. yarn.config.cjs is already the repo's manifest gate — it runs in CI via lint.yml (yarn lint:constraints) and on staged package.json via lefthook — so this needs no new tooling or CI step. It unsets rather than errors, matching the file's convention, so yarn fix:constraints autofixes a violation.
deletes the only two pre-existing violations: prepare in apps/hash-ai-worker-ts/package.json and in libs/@hashintel/ds-components/package.json

Publish lifecycle scripts (prepack, prepublishOnly, postpublish, ...) are deliberately not covered — 17 of them across 11 published packages are needed by yarn changeset:publish.

The node.postinstall = "corepack enable" hook in .config/mise/config.toml is an unrelated mise tool hook and is untouched. "install": "0.13.0" in apps/hash-api/package.json is a dependency named install, not a script; a manifest.scripts-based constraint correctly ignores it.

Pre-Merge Checklist 🚀

🚢 Has this modified a publishable library?

This PR:

does not modify any publishable blocks or libraries, or modifications do not need publishing

📜 Does this require a change to the docs?

The changes in this PR:

require changes to docs which are made as part of this PR

🕸️ Does this require a change to the Turbo Graph?

The changes in this PR:

affected the execution graph, and the turbo.json's have been updated to reflect this

⚠️ Known issues

The servers were built on the legacy MCP API — Server with setRequestHandler, rather than McpServer/registerTool — and were stdio-only (StdioServerTransport). Both Linear and Notion now ship their own MCP servers, so anyone who had these wired in locally should point their client at those instead.
hydrateLinearIssue (libs/@local/hash-backend-utils/src/linear.ts) was imported by the Linear server, but it is not orphaned by this change: libs/@local/repo-chores/node/scripts/ai-pr-review/get-pr-info.ts still uses it. No follow-up needed.
Dropping prepare from apps/hash-ai-worker-ts is safe: the package is private, so no publish path invoked it, its generated output (@local/hash-isomorphic-utils/src/chart-config-schema.ts) is committed, and generate:chart-config-schema remains for manual regeneration. Dropping it from @hashintel/ds-components is safe because prepublishOnly: turbo run build already runs the same codegen chain via build's dependsOn: ["codegen"].

🐾 Next steps

None.

🛡 What tests cover this?

No test covered the deleted packages; nothing imported them. The constraint is itself the regression test for the ban, and it runs in CI on every PR.

❓ How to test this?

yarn lint:constraints passes with zero violations.
Re-add "postinstall" to the root package.json and yarn lint:constraints fails with hash@workspace:. → Extraneous field scripts["postinstall"]; the same happens for a non-root workspace. yarn fix:constraints removes it again.
turbo run postinstall --dry=json fails with Could not find task 'postinstall' in project (it previously resolved 87 nodes, 2 of them real).
turbo run build --dry=json and turbo run lint:tsc --dry=json still resolve, with the workspace count down from 87 to 85 and only @apps/linear-mcp / @apps/notion-mcp dropped.
yarn install --immutable succeeds and completes without invoking turbo.

Delete `apps/mcp` (the `@apps/linear-mcp` and `@apps/notion-mcp` workspaces) and retire the `postinstall` mechanism, of which they were the only consumers. - remove the root `package.json` `postinstall` script, which ran `turbo run postinstall` on every `yarn install` - remove the `postinstall` task from the root `turbo.json` - drop the two workspaces, their dependencies and the transitive packages that become unreferenced from `yarn.lock` - drop the reference to the bundled servers from `.config/_examples/README.md` `turbo run postinstall` now resolves no task at all, and a plain `yarn install` no longer triggers a turbo pass.

vercel · 2026-08-10T09:25:59Z

The latest updates on your projects. Learn more about Vercel for GitHub.

Project	Deployment	Actions	Updated (UTC)
hash	Ready	Preview	Aug 10, 2026 10:34am
hashdotdesign-tokens	Ready	Preview	Aug 10, 2026 10:34am
petrinaut	Ready	Preview	Aug 10, 2026 10:34am

codecov · 2026-08-10T09:30:30Z

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 59.58%. Comparing base (77fb79c) to head (67d89fe).
⚠️ Report is 2 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #9183   +/-   ##
=======================================
  Coverage   59.58%   59.58%           
=======================================
  Files        1419     1419           
  Lines      138220   138220           
  Branches     6549     6549           
=======================================
+ Hits        82355    82356    +1     
+ Misses      54801    54800    -1     
  Partials     1064     1064

Flag	Coverage Δ
apps.hash-ai-worker-ts	`1.99% <ø> (ø)`
rust.harpc-tower	`67.03% <ø> (ø)`
rust.hash-graph-postgres-store	`29.66% <ø> (ø)`

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Removing the `postinstall` mechanism only cleared the existing scripts; this stops new ones being introduced. Add `enforceNoInstallScripts` to `yarn.config.cjs`, rejecting `preinstall`, `install`, `postinstall` and `prepare` in every workspace (the root included). These run on `yarn install` and so allow arbitrary code execution on a plain checkout-and-install. The constraint already gates manifests in CI (`lint.yml`, `yarn lint:constraints`) and on staged `package.json` via lefthook, so no new tooling is needed. It `unset`s rather than `error`s, matching the surrounding convention, so `yarn fix:constraints` autofixes a violation. Publish lifecycle scripts (`prepack`, `prepublishOnly`, `postpublish`, ...) are deliberately out of scope: 17 of them across 11 published packages are needed by `yarn changeset:publish`. Delete the only two pre-existing violations: - `apps/hash-ai-worker-ts` `prepare` — the package is private, so no publish path invoked it. Its output (`@local/hash-isomorphic-utils/src/chart-config-schema.ts`) is committed, and `generate:chart-config-schema` remains for manual regeneration. - `@hashintel/ds-components` `prepare` — redundant with `prepublishOnly: turbo run build`, whose `build` task depends on `codegen`, running the same `codegen:colors && codegen:tokens && codegen:panda` chain.

codspeed-hq · 2026-08-10T09:34:39Z

Merging this PR will not alter performance

✅ 98 untouched benchmarks

_{Comparing claude/h-6752-remove-mcp-servers (7558cb2) with main (271284a)¹}

No successful run was found on main (340b649) during the generation of this report, so 271284a was used instead as the comparison base. There might be some changes unrelated to this pull request in this report. ↩

cursor · 2026-08-10T09:59:43Z

PR Summary

Low Risk
Tooling and developer-workflow cleanup only; no runtime product paths change. Risk is mainly local MCP setups that still pointed at the removed servers.

Overview
Removes the bundled Linear and Notion MCP servers under apps/mcp/ and stops routing install-time work through Turbo. Root postinstall and the matching turbo.json task are gone, and docs no longer point at those servers.

Install scripts are now blocked repo-wide: yarn.config.cjs adds enforceNoInstallScripts, which strips preinstall, install, postinstall, and prepare from every workspace (including root), so yarn lint:constraints / yarn fix:constraints prevent them from returning. The only prior prepare hooks removed are in hash-ai-worker-ts (chart schema codegen) and @hashintel/ds-components (codegen).

yarn.lock drops the two MCP workspaces and dependencies that only they used (e.g. MCP SDK, Notion client, notion-to-md).

^{Reviewed by Cursor Bugbot for commit 7558cb2. Bugbot is set up for automated code reviews on this repo. Configure here.}

github-actions · 2026-08-10T11:38:56Z

Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2002	$$27.5 \mathrm{ms} \pm 238 \mathrm{μs}\left({\color{gray}2.34 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.50 \mathrm{ms} \pm 24.3 \mathrm{μs}\left({\color{gray}0.729 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1002	$$12.8 \mathrm{ms} \pm 110 \mathrm{μs}\left({\color{gray}3.68 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$43.4 \mathrm{ms} \pm 391 \mathrm{μs}\left({\color{gray}-0.022 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$14.4 \mathrm{ms} \pm 146 \mathrm{μs}\left({\color{gray}1.23 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1527	$$24.5 \mathrm{ms} \pm 199 \mathrm{μs}\left({\color{gray}4.58 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$28.1 \mathrm{ms} \pm 193 \mathrm{μs}\left({\color{gray}0.250 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.79 \mathrm{ms} \pm 24.0 \mathrm{μs}\left({\color{gray}0.501 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$13.5 \mathrm{ms} \pm 125 \mathrm{μs}\left({\color{gray}1.22 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.91 \mathrm{ms} \pm 26.7 \mathrm{μs}\left({\color{gray}2.06 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.05 \mathrm{ms} \pm 19.0 \mathrm{μs}\left({\color{gray}0.483 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 52	$$3.45 \mathrm{ms} \pm 22.4 \mathrm{μs}\left({\color{gray}1.88 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.25 \mathrm{ms} \pm 30.7 \mathrm{μs}\left({\color{gray}0.115 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.58 \mathrm{ms} \pm 21.9 \mathrm{μs}\left({\color{gray}0.430 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 108	$$4.17 \mathrm{ms} \pm 22.3 \mathrm{μs}\left({\color{gray}0.364 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.50 \mathrm{ms} \pm 25.4 \mathrm{μs}\left({\color{gray}0.562 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.52 \mathrm{ms} \pm 26.8 \mathrm{μs}\left({\color{gray}-0.069 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$4.15 \mathrm{ms} \pm 27.4 \mathrm{μs}\left({\color{gray}0.461 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.73 \mathrm{ms} \pm 15.0 \mathrm{μs}\left({\color{gray}0.175 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.57 \mathrm{ms} \pm 16.0 \mathrm{μs}\left({\color{gray}-0.034 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 2	$$2.70 \mathrm{ms} \pm 14.4 \mathrm{μs}\left({\color{gray}0.169 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$2.99 \mathrm{ms} \pm 13.8 \mathrm{μs}\left({\color{gray}-0.175 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.79 \mathrm{ms} \pm 17.3 \mathrm{μs}\left({\color{gray}0.365 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$2.99 \mathrm{ms} \pm 17.5 \mathrm{μs}\left({\color{gray}-1.123 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$3.12 \mathrm{ms} \pm 21.1 \mathrm{μs}\left({\color{gray}0.305 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.79 \mathrm{ms} \pm 14.3 \mathrm{μs}\left({\color{gray}-0.456 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 26	$$3.07 \mathrm{ms} \pm 28.6 \mathrm{μs}\left({\color{gray}1.05 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.53 \mathrm{ms} \pm 22.2 \mathrm{μs}\left({\color{gray}0.633 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.06 \mathrm{ms} \pm 22.5 \mathrm{μs}\left({\color{gray}0.809 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 27	$$3.36 \mathrm{ms} \pm 20.9 \mathrm{μs}\left({\color{gray}1.65 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.46 \mathrm{ms} \pm 18.6 \mathrm{μs}\left({\color{gray}0.484 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.01 \mathrm{ms} \pm 18.2 \mathrm{μs}\left({\color{gray}-0.040 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.43 \mathrm{ms} \pm 22.1 \mathrm{μs}\left({\color{gray}0.477 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$44.2 \mathrm{ms} \pm 267 \mathrm{μs}\left({\color{gray}3.30 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$34.3 \mathrm{ms} \pm 222 \mathrm{μs}\left({\color{gray}1.92 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$36.8 \mathrm{ms} \pm 275 \mathrm{μs}\left({\color{gray}1.56 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$33.9 \mathrm{ms} \pm 371 \mathrm{μs}\left({\color{lightgreen}-25.696 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$43.9 \mathrm{ms} \pm 266 \mathrm{μs}\left({\color{gray}3.59 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$51.2 \mathrm{ms} \pm 316 \mathrm{μs}\left({\color{gray}0.613 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$41.6 \mathrm{ms} \pm 240 \mathrm{μs}\left({\color{gray}2.00 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$93.7 \mathrm{ms} \pm 542 \mathrm{μs}\left({\color{gray}-0.096 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$54.0 \mathrm{ms} \pm 4.92 \mathrm{ms}\left({\color{gray}3.72 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$278 \mathrm{ms} \pm 892 \mathrm{μs}\left({\color{gray}-0.330 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$11.3 \mathrm{ms} \pm 57.1 \mathrm{μs}\left({\color{gray}0.303 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$11.4 \mathrm{ms} \pm 65.1 \mathrm{μs}\left({\color{gray}-0.366 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$11.4 \mathrm{ms} \pm 65.8 \mathrm{μs}\left({\color{gray}0.147 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$11.4 \mathrm{ms} \pm 70.8 \mathrm{μs}\left({\color{gray}0.532 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$11.4 \mathrm{ms} \pm 68.3 \mathrm{μs}\left({\color{gray}0.661 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$11.3 \mathrm{ms} \pm 61.8 \mathrm{μs}\left({\color{gray}0.088 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$11.5 \mathrm{ms} \pm 63.3 \mathrm{μs}\left({\color{gray}0.528 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$11.4 \mathrm{ms} \pm 74.0 \mathrm{μs}\left({\color{gray}0.305 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$11.4 \mathrm{ms} \pm 69.3 \mathrm{μs}\left({\color{gray}0.585 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$11.5 \mathrm{ms} \pm 66.4 \mathrm{μs}\left({\color{gray}-1.722 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity

Function	Value	Mean	Flame graphs
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/block/v/1`	$$11.9 \mathrm{ms} \pm 74.1 \mathrm{μs}\left({\color{gray}1.58 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/book/v/1`	$$12.1 \mathrm{ms} \pm 81.9 \mathrm{μs}\left({\color{gray}1.56 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/building/v/1`	$$11.9 \mathrm{ms} \pm 80.1 \mathrm{μs}\left({\color{gray}1.69 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/organization/v/1`	$$12.0 \mathrm{ms} \pm 86.5 \mathrm{μs}\left({\color{gray}1.46 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/page/v/2`	$$11.8 \mathrm{ms} \pm 63.6 \mathrm{μs}\left({\color{gray}1.64 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/person/v/1`	$$12.0 \mathrm{ms} \pm 93.1 \mathrm{μs}\left({\color{gray}1.43 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/playlist/v/1`	$$11.9 \mathrm{ms} \pm 63.0 \mathrm{μs}\left({\color{gray}-1.037 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/song/v/1`	$$11.9 \mathrm{ms} \pm 69.7 \mathrm{μs}\left({\color{gray}1.77 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1`	$$12.1 \mathrm{ms} \pm 69.7 \mathrm{μs}\left({\color{gray}3.67 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: `bf5a9ef5-dc3b-43cf-a291-6210c0321eba`	$$8.95 \mathrm{ms} \pm 54.4 \mathrm{μs}\left({\color{gray}1.24 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$61.5 \mathrm{ms} \pm 373 \mathrm{μs}\left({\color{gray}4.22 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$117 \mathrm{ms} \pm 603 \mathrm{μs}\left({\color{gray}3.40 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$69.0 \mathrm{ms} \pm 539 \mathrm{μs}\left({\color{gray}4.34 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$78.9 \mathrm{ms} \pm 559 \mathrm{μs}\left({\color{gray}4.02 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$89.5 \mathrm{ms} \pm 489 \mathrm{μs}\left({\color{gray}4.04 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$96.7 \mathrm{ms} \pm 621 \mathrm{μs}\left({\color{red}5.25 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$46.1 \mathrm{ms} \pm 304 \mathrm{μs}\left({\color{red}5.95 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$76.6 \mathrm{ms} \pm 462 \mathrm{μs}\left({\color{red}5.27 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$53.1 \mathrm{ms} \pm 352 \mathrm{μs}\left({\color{red}7.15 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$62.0 \mathrm{ms} \pm 470 \mathrm{μs}\left({\color{red}5.59 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$65.8 \mathrm{ms} \pm 505 \mathrm{μs}\left({\color{red}5.46 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$65.6 \mathrm{ms} \pm 461 \mathrm{μs}\left({\color{red}5.43 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$120 \mathrm{ms} \pm 826 \mathrm{μs}\left({\color{lightgreen}-5.097 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$131 \mathrm{ms} \pm 634 \mathrm{μs}\left({\color{lightgreen}-5.427 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$24.7 \mathrm{ms} \pm 184 \mathrm{μs}\left({\color{red}26.8 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$550 \mathrm{ms} \pm 1.51 \mathrm{ms}\left({\color{red}6.29 \mathrm{\%}}\right) $$	Flame Graph

github-actions Bot added area/deps Relates to third-party dependencies (area) area/infra Relates to version control, CI, CD or IaC (area) area/apps type/legal Owned by the @legal team labels Aug 10, 2026

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claude Bot changed the title ~~H-6752: Remove the Linear and Notion MCP servers~~ H-6752: Remove the Linear and Notion MCP servers and ban install scripts Aug 10, 2026

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H-6752: Drop JSDoc describing what the install-script constraint omits

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TimDiekmann added this pull request to the merge queue Aug 10, 2026

Merged via the queue into main with commit 2ed2383 Aug 10, 2026
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TimDiekmann deleted the claude/h-6752-remove-mcp-servers branch August 10, 2026 11:16

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H-6752: Remove the Linear and Notion MCP servers and ban install scripts - #9183

H-6752: Remove the Linear and Notion MCP servers and ban install scripts#9183
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claude/h-6752-remove-mcp-servers

claude Bot commented Aug 10, 2026 •

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github-actions Bot commented Aug 10, 2026

@rust/hash-graph-benches – Integrations

policy_resolution_large

policy_resolution_medium

policy_resolution_none

policy_resolution_small

read_scaling_complete

read_scaling_linkless

representative_read_entity

representative_read_entity_type

representative_read_multiple_entities

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claude Bot commented Aug 10, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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🌟 What is the purpose of this PR?

🔗 Related links

🔍 What does this change?

Pre-Merge Checklist 🚀

🚢 Has this modified a publishable library?

📜 Does this require a change to the docs?

🕸️ Does this require a change to the Turbo Graph?

⚠️ Known issues

🐾 Next steps

🛡 What tests cover this?

❓ How to test this?

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Merging this PR will not alter performance

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PR Summary

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github-actions Bot commented Aug 10, 2026

Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

policy_resolution_medium

policy_resolution_none

policy_resolution_small

read_scaling_complete

read_scaling_linkless

representative_read_entity

representative_read_entity_type

representative_read_multiple_entities

scenarios

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