# Hyperledger Fabric MCP Server

> Use this tool when you need to integrate AI assistants with Hyperledger Fabric blockchain networks, enabling them to query and invoke chaincode, retrieve blocks and transactions, and manage chaincode lifecycles and channels. It solves problems related to blockchain data access and management, and provides inputs such as chaincode and channel information, with outputs including query results and transaction data. It is ideal for use cases requiring automated blockchain interactions and decision-making.

Canonical page: https://skillsregistry.net/skills/adityajoshi12-fabric-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/adityajoshi12-fabric-mcp-server

## Description

Enables AI assistants to interact with Hyperledger Fabric blockchain networks, supporting chaincode queries and invocations, block and transaction retrieval, chaincode lifecycle management, and channel operations.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zqxl96g8ca)
- **Repository:** <https://github.com/adityajoshi12/fabric-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "adityajoshi12-fabric-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adityajoshi12-fabric-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adityajoshi12-fabric-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt