Discover MCP Servers

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TIBET provenance tracking for AI decisions. Cryptographic audit trails with ERIN/ERAAN/EROMHEEN/ERACHTER intent logging for compliance.

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MCP server for interacting with cloud deployments of Jetbrains Datalore platform. Fully incorporated Datalore API ( run, run interactively, get run data, fetch files )

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Precise character-level string indexing for LLMs. Provides tools for finding, extracting, and manipulating text by exact character position to solve position-based operations.

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MCP service for Tablestore, features include adding documents, semantic search for documents based on vectors and scalars, RAG-friendly, and serverless.

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AI-to-AI messaging via I-Poll protocol and AInternet. Enables agents to communicate using .aint domains, semantic messaging, and trust-based routing.

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MCP Server for Kubernetes integrated with Open-WebUI, bridging the gap between DevOps and non-technical teams. Supports `kubectl` and `helm` operations through natural-language commands.

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Intelligent search capabilities to let every model and client use [Claude Agent Skills](https://www.anthropic.com/news/skills) like native.

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Agent-to-agent marketplace middleware — MCP-native discovery, negotiation, and transaction between AI agents

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Third-party certifying proxy — sign any HTTP call (AI agents, webhooks, microservices) with an independent Ed25519 signature, RFC 3161 timestamp, and Sigstore Rekor anchor. Works with Claude, GPT-4, Mistral, LangChain, AutoGen, or any HTTP client.

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Cryptographic provenance, bilateral blind reputation scoring, and tamper-evident logging for AI agent interactions. 7 interlocking trust protocols (CoC, ARP, ASA, AJP, ALP, AMP, CWEP) available in Python (pip) and TypeScript (npm). 663 tests. Bitcoin-anchored provenance chains, anti-Goodhart reputation scoring, machine-readable contracts, dispute resolution, lifecycle management, trust-weighted matchmaking, and context-window cost allocation. Also on [Smithery](https://smithery.ai/server/@alexfl

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Per-transaction deterministic crypto validator for AI trading agents. Validate trades (PROCEED/CAUTION/BLOCK), scan tokens, detect rug pulls — powered by WaveGuard physics engine. 5 free calls/day, x402 USDC payments. `pip install CryptoGuardClient`

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Historical stock chart pattern intelligence for AI agents. 24M pre-computed embeddings across 15K stocks and 10 years of data. Search by ticker+date or screenshot to find the most similar historical patterns and see what happened next. 19 tools including pattern search, forward returns, regime analysis, and trade simulation. Install: `pip install chartlibrary-mcp`. Free tier: 200 calls/day.