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cctx-mcp

by nikondrat
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Python
Local

Overview

CCTX-MCP — Code ConTeXt via Model Context Protocol. An MCP server that gives AI agents a structured view of source code without reading entire files.

Built for Claude, Cursor, OpenCode, and any MCP-compatible AI coding tool.

Related MCP server: token-pilot

Quick Start

uvx cctx-mcp

Add to your MCP client config:

{
  "mcpServers": {
    "cctx-mcp": {
      "command": "uvx",
      "args": ["cctx-mcp"]
    }
  }
}

Tools

Code Analysis

Tool

Returns

Replaces

Savings

smart_read

symbol hierarchy, deps, docs, line counts

cat + manual parsing

~87%

find_symbols

symbol locations by name or type

grep -r + file reads

~99%

get_dependencies

all imports of a file in one shot

grep ^import

~96%

trace_calls

every call site with file + line

grep across repo

~90%

analyze_project

language breakdown, file counts, tree

find + wc

~98%

get_symbol_summaries

AI semantic descriptions per symbol

reading implementation

~85%

Git & Commits

Tool

Returns

Replaces

Savings

compact_change_intelligence

structured git diff with intent cues

git diff + git status

~75%

draft_commit

AI-generated conventional commit message

writing from scratch

~90%

approve_commit_draft

executes the commit after review

git add + git commit

—

Observability

get_config · get_health · get_version

Token Savings

Operation

Native

With CCTX-MCP

Savings

Read 500-line file

~1,500 tokens

~200 tokens

87%

Find function across project

~5,000 tokens

~50 tokens

99%

Understand imports

~800 tokens

~30 tokens

96%

Analyze project structure

~10,000 tokens

~150 tokens

98%

Git change summary

~3,000 tokens

~750 tokens

75%

Typical session: 80%+ aggregate savings.

Supported Languages

Powered by tree-sitter AST — each language has a dedicated parser.

Install

uvx (recommended)

{
  "mcpServers": {
    "cctx-mcp": {
      "command": "uvx",
      "args": ["cctx-mcp"]
    }
  }
}

pip

pip install cctx-mcp
{
  "mcpServers": {
    "cctx-mcp": {
      "command": "python",
      "args": ["-m", "code_context.server"]
    }
  }
}

source

git clone https://github.com/nikondrat/cctx-mcp.git
cd cctx-mcp
uv sync
uv run python -m code_context.server --skip-index

Configuration

Variable

Default

Description

CC_OLLAMA_URL

http://localhost:11434

Ollama server address

CC_OPENROUTER_API_KEY

—

Remote inference key

CC_LLM_ROUTER

local-first

local-first, local-only, remote-first, remote-only

CC_COMMIT_MODEL

gemma4:latest

Local model for commit drafting

CC_EMBED_MODEL

nomic-embed-text

Local model for embeddings

CC_SEMANTIC_SUMMARIES

1

Enable AI symbol summaries

Development

uv sync
uv run pytest tests/ -v

Debug Logging

Tool calls are logged to ~/.code-context-cache/debug.jsonl with args, result preview, latency, and status:

tail -f ~/.code-context-cache/debug.jsonl

Set CC_DEBUG_LOG env var to change the log path.

PRs welcome. Open issues.

License

MIT — free for any use.

This server cannot be installed

A
license - permissive license
-
quality - not tested
B
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

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