MCP servers that ship as code — a repository or a package you install and run locally (usually over stdio). They have no hosted endpoint, so we cannot probe or grade them: instead each one shows its repository, install command, license, stars and when it was last updated.
Collected from GitHub repositories and npm, PyPI, Cargo, Go, Maven, NuGet and RubyGems packages tagged as MCP servers, the official MCP Registry, Docker's MCP catalog, ModelScope, Baidu MCP World, Cline and other public directories; one entry per repository. A server that also offers a hosted endpoint is listed under Remote instead. These entries are not counted in our reachability, verification or readiness statistics.
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Deterministic tree-sitter + SQLite/FTS5 code knowledge graph for coding agents and developers: symbols, calls and dependencies over a CLI, an MCP server and a local browser viewer. No AI/LLM inside; byte-stable output.
MIT ★ 22 -
knotgithub.com/dreygur/knotactive
Archived experiment: local code graph search and team learnings for AI coding agents (Claude Code, Codex, Cursor) as a Rust MCP server and CLI. Tree-sitter, BM25F and call graph ranking, benchmarked on Agent Retrieval Bench against Trail, CodeGraph, Serena and more. Abandoned: agents never used it.
MIT -
cuba-memorysgithub.com/leandropg19/cuba-memorysupdated this year
Persistent memory MCP server for AI agents (v0.18). 29 tools, self-growing graph without MCP sampling, poisoning quarantine: bitemporal facts, sqlx-migrate, BM25+MMR+OOD hybrid retrieval, graph metrics, conformal prediction, Hebbian/BCM, project scoping, tamper-evident audit chain (21 CFR Part 11-oriented), tree-sitter codegraph, git-native sync hooks. Rust + PostgreSQL + pgvector.
pypi Apache-2.0 -
Deterministic edit safety for AI coding agents: blast radius before an edit, verification after it. Prebuilt tessera binary, no Rust toolchain required.
npm Apache-2.0 -
A high-performance code intelligence graph for LLMs and AI agents. Sub-second structural queries, impact analysis, and cross-repo API contracts for autonomous coding workflows.
MIT ★ 10