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"semantic-release" matching MCP servers:

  • Ratatosk

    garlicKim21
    A
    license
    A
    quality
    A
    maintenance
    CNCF release intelligence: typed, quoted facts (security fixes, breaking changes, deprecations) from every graduated/incubating project's release notes, updated daily. check_stack compares running versions locally — versions never leave your process.
    2
    7
    2
    Apache 2.0
  • Bitrise MCP Server by bitrise-io

    Bitrise MCP Serverofficial

    bitrise-io
    A
    license
    Not graded
    quality
    A
    maintenance
    A server interface for Bitrise CI/CD platform that enables app management, build operations, artifact management, and release management through natural language interactions.
    41
    MIT
  • io.github.neo4j-labs/neo4j-mcp-canary by neo4j-labs

    io.github.neo4j-labs/neo4j-mcpofficial

    neo4j-labs
    F
    license
    Not graded
    quality
    C
    maintenance
    Neo4j MCP Canary is a fast-moving, experimental release of the Neo4j MCP server for customers who want to explore emerging capabilities before they are considered for the official server.
    2

  • tela

    zcag
    A
    license
    A
    quality
    A
    maintenance
    Self-hostable, markdown-native team wiki with a built-in MCP server: agents search, read, and write your wiki pages (ranked Postgres full-text + semantic search, backlink traversal). Plus Atlas, which auto-generates a cited, coverage-checked wiki from your git repos and Jira.
    41
    46
    AGPL 3.0

  • Deadzone

    laradji
    A
    license
    A
    quality
    B
    maintenance
    Local-first MCP server providing semantic search over library docs, fully offline. Single Go binary speaks MCP over stdio against a vector index pinned to the binary version. Like Context7 with the internet turned off. Apache 2.0. Linux + macOS, also available as a container image.
    2
    3
    Apache 2.0

  • mnemos

    s60yucca
    A
    license
    B
    quality
    A
    maintenance
    Persistent memory engine for AI coding agents. Single Go binary, zero runtime dependencies, MCP-native. Stores, searches, and deduplicates memories across sessions using embedded SQLite with hybrid FTS + semantic search, memory decay, relation graph, and token-budget context assembly.
    10
    11
    MIT
  • SynapBus by synapbus

    SynapBusofficial

    synapbus
    A
    license
    Not graded
    quality
    C
    maintenance
    MCP-native agent-to-agent messaging hub for AI swarms. Agents communicate via channels and DMs through MCP protocol — zero SDKs needed. Includes web UI, semantic search, analytics dashboard. Single Go binary, local-first.
    1
    Apache 2.0

  • mcp-trino

    txn2
    A
    license
    Not graded
    quality
    A
    maintenance
    A Model Context Protocol server enabling AI assistants to query and explore data warehouses via Trino, with optional semantic context from metadata catalogs.
    2
    Apache 2.0

  • Sourcerer MCP

    st3v3nmw
    A
    license
    Not graded
    quality
    C
    maintenance
    An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need.
    119
    MIT

  • Sense

    luuuc
    A
    license
    Not graded
    quality
    A
    maintenance
    An MCP server for codebase context that gives AI coding agents structural understanding through symbol graph, semantic search, blast radius, and convention detection tools.
    31
    MIT

  • MISAMA Search

    miyc176
    A
    license
    Not graded
    quality
    B
    maintenance
    Provides fully local, privacy-preserving semantic search over file names and paths via MCP, using BGE embeddings for fuzzy matching and supporting incremental updates, watch mode, and a loopback-only HTTP server.
    MIT

  • M.I.M.I.R - Multi-agent

    orneryd
    A
    license
    Not graded
    quality
    C
    maintenance
    Provides AI assistants with persistent graph database memory using Neo4j, enabling task management, relationship understanding, semantic search with embeddings, file indexing, and multi-agent coordination through the Model Context Protocol.
    6
    280
    MIT

  • gopls-mcp

    xieyuschen
    A
    license
    Not graded
    quality
    A
    maintenance
    https://gopls-mcp.org/ MCP server for golang projects development: Expand AI Code Agent ability boundary to have a semantic understanding and determinisic information for golang projects.
    57
    BSD 3-Clause

  • ariadne

    mclaut
    A
    license
    Not graded
    quality
    A
    maintenance
    A native, local-first, multilingual memory server for Codex, Claude Code, and any MCP client, providing hybrid semantic and exact memory recall using Go, Qdrant, and bge-m3. It enables stable, concurrent memory storage and retrieval without Docker or cloud dependencies.
    3
    MIT

  • MCP Memory LibSQL Go

    ZanzyTHEbar
    A
    license
    Not graded
    quality
    C
    maintenance
    🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.
    7
    MIT

  • ken

    townsendmerino
    A
    license
    Not graded
    quality
    A
    maintenance
    Fast hybrid code search for agents. Pure Go, single static binary, BM25 lexical + Model2Vec semantic embeddings + RRF fusion + a code-aware reranker, with the retrieval algorithm ported verbatim from semble
    29
    MIT

  • codemap

    abdul-hamid-achik
    A
    license
    Not graded
    quality
    A
    maintenance
    MCP server for local-first code intelligence, providing structural code graph, semantic search, and impact analysis to AI agents.
    1
    MIT

  • code-graph-mcp

    attaxr
    A
    license
    Not graded
    quality
    B
    maintenance
    Turns a codebase into a queryable graph with semantic search, call graphs, and control/data flow analysis, served to AI coding agents via the Model Context Protocol.
    206
    MIT