"Go" matching MCP servers:

🧠 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.

Enables searching Google Scholar with Scholar operators, year ranges, cited-by and all-versions lookups, and retrieving citations in five styles with BibTeX and EndNote export links as structured JSON.

Local-first shared memory and task coordination for AI coding agents. One Go binary, MCP server, markdown files you own. Hooks for Claude Code and Codex CLI (and their desktop apps).

A Zotero MCP server built for agent safety: a capability-tagged tool registry (every command carries operation/requires/destructive annotations), preview-first writes behind a mutation journal, and read-only defaults. Single Go binary with an MCPB one-click manifest for Claude Desktop.

Persistent memory for AI agents as a single Go binary: hybrid recall, self-building knowledge graph, and a live TUI dashboard. Zero infra, offline-first — works with Claude Code, Cursor, Codex, OpenCode, and any MCP client.

Unifies cited transcript search, auto-compressed session context, and hand-curated notes behind a single MCP server, letting AI coding agents look up past discussions, check what was just happening, and store or recall durable facts across projects.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

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.

Enables AI agents to safely interact with golf course operations by providing real-time inventory, booking rules, pricing policies, and a self-learning memory system.

Persistent memory for AI agents with 29 MCP tools for search, storage, plans, context, messaging, tasks, agent network, and memory management.

Provides AI clients with a governed, searchable catalog of go-to-market context, including ownership, measurement, lineage, runbooks, and bulk-change templates. Optionally integrates with the UTM Builder for governed UTM reference data, preview, and issuance.

Exposes 30+ novel-writing tools over stdio or HTTP so external agents such as Claude Code or WorkBuddy can use their own models and API keys to read chapters, write prose, manage characters, foreshadowing, story arcs and worldbuilding, run local semantic search, and launch review sub-agents. Supports one-click enabling with configurable port, token, and approval mode.

Indexes codebases cut at function and class boundaries into Oracle AI Database 26ai, letting AI coding tools search code by name or meaning, trace callers, callees and change impact, read per-module wiki pages, and recall facts from earlier sessions. All of it is served over the Model Context Protocol with embeddings computed in-database, so no source code leaves the machine and no API key is required.

Resume-as-an-Agent (RAAA) or Portfolio-as-an-Agent (PAAA) allows Agents to talk to your resume, find out if you are available for work, and more. Use the MCP to allow recruiters, managers, and anyone with an agent to "talk" to your resume.

Provides AI agents with typed tools to bootstrap sessions, ingest files, search, read, write, link, handoff, self-check, and audit markdown notes in a self-hosted Obsidian-compatible vault.

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.

Enables LLMs to store, search, and manage memories with hybrid semantic and keyword search using ChromaDB and Neo4j for persistent memory and knowledge graph capabilities.

A tree whose vocabulary, rules and solvers are data, edited at runtime through generic tree_* tools. Rules go red on the node that breaks them, so it works as a design-dexision ledger on any checked knowledge base.

High-performance code graph and code intelligence engine. Index code base into knowledge graph, supports 257 languages and native multi repositories environment

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.