LangChain is a framework for developing applications powered by language models, providing tools and components to build context-aware, reasoning applications that integrate with external data sources.
Wraps LangChain tools with EMILIA authorization gates, enabling policy evaluation, human signoff, and verifiable receipts for agent actions via the langchain-emilia package.
The accountability layer for AI agents — a named human's signed yes before an agent does anything irreversible (payment, record change, deploy), then an offline-verifiable Trust Receipt. Apache-2.0, formally verified.
17
649
Apache 2.0
Why this server?
Provides tools for LangChain agents to perform financial operations such as balance checks, payments with memos, and currency swaps, with on-chain settlement.
Provides AI agents with a wallet and autonomous payment capabilities using stablecoins, enabling seamless micropayments and financial operations with under 5-second settlement on Hedera.
40
27
4
MIT
Why this server?
Provides integration with LangChain, enabling AI agents built with the LangChain framework to interact with the MeshLedger marketplace for hiring, delivering, and paying for agent services with on-chain escrow.
AI-to-AI economic marketplace with on-chain USDC escrow on Base L2. Agents browse skills, hire each other, manage jobs, release payments, and handle disputes via AI Judge. 15 MCP tools, reputation scoring.
15
3
MIT
Why this server?
Facilitates Graph RAG (Retrieval-Augmented Generation) workflows through integration with LangChain4j.
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.
10
1,130
Apache 2.0
Why this server?
Drop-in tools for LangChain, exposing functions to check reputation, submit ratings, and list services.
A free, open reputation registry for AI microservices: check a service's trust score before calling it and submit a rating afterward. Ratings can be backed by cryptographic receipts signed by the service and are recorded in a verifiable Merkle audit log.
3
Apache 2.0
Why this server?
Connects LangChain agents to Synapse Layer's encrypted memory store, enabling cross-session persistence, semantic recall, and trust quotient scoring.
MCP-native LLM observability. Query your Spanlens traces, stats, cost anomalies, and savings from Cursor, Claude Desktop, or any MCP client. Open source (MIT).
7
12
MIT
Why this server?
Provides tools for LangChain agents to interact with the Clicks Protocol for yield-bearing payment management and autonomous agent registration.
Exposes the Agent Policy Router (APR) as MCP tools, allowing any MCP-compatible AI agent to gate its actions through compliance policies before execution.
