MCP Registry

Showing 12 of 7,814 indexed MCP servers and skills

Servers

12
93

akougkas/zulipchat-mcp

ZulipChat MCP: Connect AI to Zulip with 60+ tools for messaging, streams, events, and analytics

smithery
93

debtstack/debtstack-ai

Corporate credit data API for AI agents. Search bonds, leverage ratios, guarantors, corporate structure, and SEC filings across hundreds of companies. Screen high-yield bonds by YTM and seniority, resolve CUSIPs from free text, traverse guarantor hierarchies, and search full-text SEC documents.

smithery
93

mcp-marketplace/io-github-danecodes-botcall-mcp

Give your AI agent a real phone number for SMS verification codes.

mcp-marketplace
93

mcp-marketplace/io-github-ryan-clinton-ip-patent-trademark-mcp

Intellectual property intelligence covering patent searches, trademark monitoring, IP portfolio a...

mcp-marketplace
93

mcp-marketplace/io-github-battam1111-myco

Agent-first cognitive substrate: 20 verbs + 46 lint dims over a self-validating graph.

mcp-marketplace
93

mcp-marketplace/io-github-codespar-mcp-facturapi

FacturAPI — Mexican CFDI e-invoicing

mcp-marketplace
93

waldzellai/exa-mcp-server-websets

Manage Websets with Claude, hosted on Smithery.

smithery
93

mcp-marketplace/io-github-mauriceisrael-smartmemory

Neuro-symbolic memory for LLMs (POC)

mcp-marketplace
93

mcp-marketplace/io-github-thelabvenice-memdata

Persistent memory for AI agents. Store context, retrieve it semantically.

mcp-marketplace
93

mcp-marketplace/io-github-bigjai-tokennuke

Code indexing MCP: 15 tools, 10 languages, hybrid search, call graphs, O(1) retrieval.

mcp-marketplace
93

cjo4m06/mcp-shrimp-task-manager

Shrimp Task Manager guides Agents through structured workflows for systematic programming, enhancing task memory management mechanisms, and effectively avoiding redundant and repetitive coding work.

smithery
93

openclaw-ai/regex-engine

Simplify regular expression tasks by testing, explaining, and building patterns from natural language descriptions. Process text efficiently through robust find-and-replace or extraction operations with support for named capture groups. Enhance pattern understanding with detailed token-by-token explanations and verified examples.

smithery

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