# mcp-context-server
[](https://crates.io/crates/mcp-context-server)
[](https://docs.rs/mcp-context-server)
[](LICENSE)
MCP server for the Context platform.
`mcp-context-server` exposes context resolution to AI agents via the [Model Context Protocol](https://modelcontextprotocol.io/) over stdio (JSON-RPC 2.0, newline-delimited). It is the primary integration surface for agents.
## Tools
| `context.resolve` | Resolve context from a cache using a query and token budget |
| `context.list_caches` | List available context caches under the server's cache root |
| `context.inspect_cache` | Inspect cache metadata and validity |
## Configuration
The server is configured via environment variables:
| `CONTEXT_CACHE_ROOT` | yes | — | Root directory containing context caches |
| `CONTEXT_TOOL_TIMEOUT_SECS` | no | 30 | Maximum seconds per tool call |
## Running
```bash
CONTEXT_CACHE_ROOT=./caches ./dist/mcp-context-server
```
The server reads JSON-RPC requests from stdin and writes responses to stdout. It is designed to be launched by an MCP client (e.g., Claude Desktop, an agent framework).
## MCP client configuration
For Claude Desktop, add to your MCP config:
```json
{
"mcpServers": {
"context": {
"command": "/path/to/mcp-context-server",
"env": {
"CONTEXT_CACHE_ROOT": "/path/to/your/caches"
}
}
}
}
```
## Protocol
- Transport: stdio (JSON-RPC 2.0, newline-delimited)
- Protocol version: `2024-11-05`
- All responses are deterministic
- Error codes: `cache_missing`, `cache_invalid`, `invalid_query`, `invalid_budget`, `io_error`, `internal_error`
## Build
```bash
make build # debug build
make test # run all tests (31 tests including 11 golden snapshot tests)
make check # cargo check + clippy
make release # optimized build, binary copied to dist/
make clean # remove artifacts
```
The release binary is named `mcp-context-server` and placed in `dist/`.
## Spec references
See `spec_refs.md` for links to the governing specifications.
---
"Context Engine" is a trademark of Context Engine Contributors. The software is open source under the [Apache License 2.0](LICENSE). The trademark is not licensed for use by third parties to market competing products or services without prior written permission.