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74 repos for code-agent · ConnectorsClear

Local code intelligence MCP server and CLI for AI coding agents

740
sverklo/sverkloConnectors

Repo memory for coding agents. Local-first MCP for Claude Code, Cursor, Windsurf, and Codex CLI: symbol graph, blast radius, diff-aware review, and git-pinned decisions. MIT; no API keys or code upload.

79
rebel0789/
codexpro

Use ChatGPT Developer Mode as a local coding agent for your repo through MCP.

1.9k
okf-memory/
okf-agent-memory

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.

547

Share the same project justfile tasks with your AI Coding Agent.

46

The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.

5.2k

100% Rust implementation of code graphRAG with blazing fast AST+FastML parsing, surrealDB backend and advanced agentic code analysis tools through MCP for efficient code agent context management

877

AI-powered annotations for localhost development. Create visual feedback on your apps and let AI coding agents automatically implement fixes via MCP integration.

157
K9i-0/ccpocketConnectors

Mobile client for Codex and Claude — control coding agents from your phone via WebSocket bridge

1.1k
dcostenco/
prism-coder

Persistent session memory for AI coding agents — local-first, with on-device inference, associative recall, and drift detection. Works with Claude Code, Cursor, and Codex.

157

Nia is a context-augmentation layer for agents, primarily designed for coding agents. It provides them with an up-to-date knowledge base and improves their performance by 27%.

74
withqwerty/
football-docs

Searchable football data provider documentation for AI coding agents. Like Context7 for football data.

66
mnemox-ai/
idea-reality-mcp

Pre-build reality check for AI coding agents. Scans GitHub, HN, npm, PyPI, Product Hunt. MCP server. 290+ stars.

815

Open-source coding agents memory. Records issues, attempts, fixes and decisions, then warns your agent before it repeats an approach that already failed. Native MCP server for Claude Code, Cursor, Antigravity and Codex. 100% local, no cloud, no telemetry. MIT.

803
ooples/
token-optimizer-mcp

Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.

516
matlab/
matlab-mcp-server

Run MATLAB® using AI applications with the official MATLAB MCP Server from MathWorks®. This MCP server for MATLAB supports a wide range of coding agents like Claude Code® and Visual Studio® Code.

1.5k

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

13k
OpenEvident/
vindicate

A local-first Playwright test automation toolkit for AI coding agents (Cursor, Claude Code, Copilot), with MCP tools for codegen, browser control, and recordings.

46

Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.

98
morluto/reaConnectors

Reverse engineer anything with agents, from app behavior down to native binaries.

400
SixHq/OvertureConnectors

Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server that visually maps out the execution plan of any AI coding agent as an interactive flowchart/graph before the agent begins writing code.

636
EtienneChollet/
ontomics

Extract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concepts, naming conventions, and vocabulary queryable via MCP.

41
krokozyab/
Agent-Fusion

Agent Fusion is a local RAG semantic search engine that gives AI agents instant access to your code, documentation (Markdown, Word, PDF). Query your codebase from code agents without hallucinations. Runs 100% locally, includes a lightweight embedding model, and optional multi-agent task orchestration. Deploy with a single JAR

73