diff --git a/README.md b/README.md
index e44909b20d2..e194ae42c74 100644
--- a/README.md
+++ b/README.md
@@ -32,6 +32,7 @@ Jaeger is hosted by the [Cloud Native Computing Foundation](https://cncf.io) (CN
  * [Java client](https://github.com/uber/jaeger-client-java)
  * [Python client](https://github.com/uber/jaeger-client-python)
  * [Node.js client](https://github.com/uber/jaeger-client-node)
+ * [C++ client](https://github.com/jaegertracing/cpp-client)
 
 ### Contributions
 
diff --git a/docs/client_libraries.md b/docs/client_libraries.md
index a689efa95b7..e4d63dd5ff0 100644
--- a/docs/client_libraries.md
+++ b/docs/client_libraries.md
@@ -8,6 +8,7 @@
 | java     | [jaeger-client-java](https://github.com/uber/jaeger-client-java)    |
 | node     | [jaeger-client-node](https://github.com/uber/jaeger-client-node)    |
 | python   | [jaeger-client-python](https://github.com/uber/jaeger-client-python)|
+| C++      | [cpp-client](https://github.com/jaegertracing/cpp-client)           |
 
 For a deep dive into how to instrument a Go service, look at [Tracing HTTP request latency](https://medium.com/@YuriShkuro/tracing-http-request-latency-in-go-with-opentracing-7cc1282a100a).
 
diff --git a/docs/index.md b/docs/index.md
index c21bdf97156..0bb7e328e5e 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -23,7 +23,8 @@ for the architectural choices made in Jaeger.
 ## Features
 
   * [OpenTracing](http://opentracing.io/) compatible data model and instrumentation libraries
-    * in [Go](https://github.com/uber/jaeger-client-go), [Java](https://github.com/uber/jaeger-client-java), [Node](https://github.com/uber/jaeger-client-node) and [Python](https://github.com/uber/jaeger-client-python)
+    * in [Go](https://github.com/uber/jaeger-client-go), [Java](https://github.com/uber/jaeger-client-java), [Node](https://github.com/uber/jaeger-client-node), [Python](https://github.com/uber/jaeger-client-python)
+    and [C++](https://github.com/jaegertracing/cpp-client)
   * Uses consistent upfront sampling with individual per service/endpoint probabilities
   * Adaptive sampling (coming soon)
   * Post-collection data processing pipeline (coming soon)