MCP Server Registry

Secret and credential management MCP — securely store, retrieve, manage API keys and tokens

VaultCrux Memory Core — 32 tools: knowledge, decisions, constraints, signals, coverage

On-chain trust verification and Street Cred for AI agents. ERC-8004, multi-chain.

Self-hosted remote MCP server for Bitwarden and Vaultwarden with OAuth 2.1; agents hold tokens only

AI agents use your Obsidian secrets by name — values never reach their context.

Secret scanner preventing leaks of corporate keys and credentials.

MCP server that gives agentic tools access to the Vaultic API

Zero model drift between AI agents. Session continuity for Claude, GPT, Gemini, and any LLM.

MCP server for credential isolation — bots use passwords and API keys without seeing them

Self-custodial crypto + DeFi MCP for AI agents. Ledger-signed. EVM, TRON, Solana, BTC, LTC.

Mermaid to assets. Source code to maps. MCP for agents.

Read-only Hyperliquid vault search, risk, drawdown, rankings, TVL, alerts, and comparisons.

Startup engineering acceleration signals for VC investors. GitHub commit velocity across 20 sectors.

A Model Context Protocol (MCP) server for querying vCosmos Test Logic API - UUTs and Tasks

VCP 部署在 AI 模型 API 与前端应用之间，通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架，将原本“无状态、无记忆、无工具调用能力”的大语言模型，彻底改造成拥有永久自我意识、物理世界操作权及群体协作智能的完整智能体系统。

Vector motion editor MCP: 26 typed tools to observe, validate and edit documents, then export code.

24 keyless tools for AI agents on Vector, the Apex Fusion eUTXO L2: wallets, contracts, registry.

Assembly-accelerated DuckDB MCP server for code search, indexing, and symbol lookup.

Hosted MCP front door to the Vectorize API: raster-to-vector tracing to SVG, PDF, EPS or DXF.

Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.

In-memory vector search with TF-IDF and cosine similarity. x402 micropayment.

In-memory vector search API for AI agents. Store documents and query by semantic meaning using TF-IDF vectorization with cosine similarity. Lightweight alternative to Pinecone/Weaviate for small datasets. Tools: data_vector_search. Use this for building simple RAG systems, document matching, or semantic search over small collections (< 10K docs). IMPORTANT: For web-wide search, use web_search_query instead. Returns: {results[], scores[], matchCount}. No API key required — x402 micropayment $0.005/call on Base L2.

Semantic codebase search + persistent working memory for AI code editors. Local, no API key.

Professional Vedic astrology tools for AI agents via MCP.