MCP Servers
MCP servers connect AI agents to services such as databases, search and communication tools.
✓ Official
36 publishersSelect a publisher to filter the entries listed on Labsco.
modelcontextprotocol17 servers
google2 servers
googleapis2 servers
microsoft8 servers
azure3 servers
github2 servers
awslabs9 servers
bytedance1 server
stripe2 servers
cloudflare3 servers
vercel1 server
figma1 server
makenotion1 server
atlassian1 server
supabase1 server
redis2 servers
elastic1 server
jetbrains1 server
ibm2 servers
getsentry4 servers
grafana2 servers
hashicorp1 server
brave1 server
firebase1 server
browserbase1 server
apify1 server
firecrawl1 server
mendableai1 server
clickhouse1 server
neondatabase1 server
upstash2 servers
qdrant2 servers
resend1 server
e2b-dev1 server
exa-labs1 server
mastra-ai1 serverMemory
80 MCP serversProgi
★ 2Workflow engine that teaches your agent how YOU like to get things done.
hubd Project Tracker
★ 1The project tracker for teams of humans and AI agents — in plain files. MCP server + CLI, zero dependencies.
rag-rat
★ 1Provides local repo-intelligence by indexing source, symbols, call graphs, Git/GitHub history, and source-bound repo memories into a local database for coding agents.
Contextful
★ 1Highly efficient context management for agentic AI: MCP code search, evidence packs, graph context, and memory for large projects.
devrecall
★ 1Local-first developer activity aggregator — Git, PRs, Jira, Confluence, Slack, Calendar — exposed as an MCP server so coding agents can search and cite past work
MemoraEu
★ 1Personal memory layer for AI assistants. Store, search and recall preferences, decisions and facts — available from any MCP-compatible client.
presence-mcp
★ 1PyPI launcher that exposes the presence Claude Code plugin's living project model and outcome telemetry as MCP resources for Claude Desktop, Cursor, and Continue.
memory engine
★ 1A living memory that decays, learns, and evolves with your AI.
mindcore-memory-mcp
★ 1Long-term memory system for AI agents with semantic search, context management, and multi-format storage.
Syncpen
★ 0A markdown knowledge base your AI reads, writes, and organizes — a memory in plain files you can actually open and correct (not an opaque vector store), with every agent edit signed and yours to approve.
Reasoning Commons
★ 0AI Reasoning Cache & Consensus Layer with 50+ reasoning objects across 14 domains. Cache hit/miss with token savings, failure risk check before execution, cross-model verification, and citation tracking. 11 MCP tools via Streamable HTTP.
AgentMemory MCP
★ 0Governed persistent memory for AI agents.
Memlane
★ 0Search what you've saved, pull up full articles, add new links, and write notes in Memlane
Frinus
★ 0MCP (Model Context Protocol) server that exposes 70 tools spanning cognitive memory, working memory, sessions, agents, the L0–L3 knowledge hierarchy, orchestration tasks, and training pipelines. The server speaks stdio and is consumed by Claude Desktop, Claude Code, OpenCodex, and any MCP-aware client.
filamental-mcp
★ 0Search, traverse and edit a Filamental knowledge graph from any MCP-compatible AI client. Local-first, no cloud, no auth required.
Granoflow
★ 0Connect AI agents to Granoflow for tasks, reviews, and spaced-review memory cards.
MyAITwin MCP
★ 0Personal knowledge twin with semantic search. Store voice notes, documents, URLs, principles, and skills from any AI chat, then retrieve them with inline provenance citations. Hosted, multi-tenant, with per-user bearer-token auth and full data isolation.
OpenMembrane
★ 0OpenMemBrain is the intelligent membrane for AI coding memory. It autonomously reads and learns from your coding sessions — you never have to tell it what to save. It selectively absorbs project knowledge, blocks secrets, filters noise, resolves conflicts, and persists only what matters.
mem0-mcp-server
★ 0mem0-mcp-server — exposes Mem0 persistent semantic memory as an MCP HTTP server; supports add/search/read/update/delete operations and semantic search for agent memory.
mcp-memory-graph
Persistent memory for AI agents using a semantic knowledge graph. Store, retrieve, and connect memories with semantic search — so your AI remembers context across sessions.