mirror of https://github.com/trustgraph-ai/trustgraph.git synced 2026-04-25 08:26:21 +02:00

* Bump setup.py versions for 1.1

* PoC MCP server (#419)

* Very initial MCP server PoC for TrustGraph

* Put service on port 8000

* Add MCP container and packages to buildout

* Update docs for API/CLI changes in 1.0 (#421)

* Update some API basics for the 0.23/1.0 API change

* Add MCP container push (#425)

* Add command args to the MCP server (#426)

* Host and port parameters

* Added websocket arg

* More docs

* MCP client support (#427)

- MCP client service
- Tool request/response schema
- API gateway support for mcp-tool
- Message translation for tool request & response
- Make mcp-tool using configuration service for information
  about where the MCP services are.

* Feature/react call mcp (#428)

Key Features

  - MCP Tool Integration: Added core MCP tool support with ToolClientSpec and ToolClient classes
  - API Enhancement: New mcp_tool method for flow-specific tool invocation
  - CLI Tooling: New tg-invoke-mcp-tool command for testing MCP integration
  - React Agent Enhancement: Fixed and improved multi-tool invocation capabilities
  - Tool Management: Enhanced CLI for tool configuration and management

Changes

  - Added MCP tool invocation to API with flow-specific integration
  - Implemented ToolClientSpec and ToolClient for tool call handling
  - Updated agent-manager-react to invoke MCP tools with configurable types
  - Enhanced CLI with new commands and improved help text
  - Added comprehensive documentation for new CLI commands
  - Improved tool configuration management

Testing

  - Added tg-invoke-mcp-tool CLI command for isolated MCP integration testing
  - Enhanced agent capability to invoke multiple tools simultaneously

* Test suite executed from CI pipeline (#433)

* Test strategy & test cases

* Unit tests

* Integration tests

* Extending test coverage (#434)

* Contract tests

* Testing embeedings

* Agent unit tests

* Knowledge pipeline tests

* Turn on contract tests

* Increase storage test coverage (#435)

* Fixing storage and adding tests

* PR pipeline only runs quick tests

* Empty configuration is returned as empty list, previously was not in response (#436)

* Update config util to take files as well as command-line text (#437)

* Updated CLI invocation and config model for tools and mcp (#438)

* Updated CLI invocation and config model for tools and mcp

* CLI anomalies

* Tweaked the MCP tool implementation for new model

* Update agent implementation to match the new model

* Fix agent tools, now all tested

* Fixed integration tests

* Fix MCP delete tool params

* Update Python deps to 1.2

* Update to enable knowledge extraction using the agent framework (#439)

* Implement KG extraction agent (kg-extract-agent)

* Using ReAct framework (agent-manager-react)
 
* ReAct manager had an issue when emitting JSON, which conflicts which ReAct manager's own JSON messages, so refactored ReAct manager to use traditional ReAct messages, non-JSON structure.
 
* Minor refactor to take the prompt template client out of prompt-template so it can be more readily used by other modules. kg-extract-agent uses this framework.

* Migrate from setup.py to pyproject.toml (#440)

* Converted setup.py to pyproject.toml

* Modern package infrastructure as recommended by py docs

* Install missing build deps (#441)

* Install missing build deps (#442)

* Implement logging strategy (#444)

* Logging strategy and convert all prints() to logging invocations

* Fix/startup failure (#445)

* Fix loggin startup problems

* Fix logging startup problems (#446)

* Fix logging startup problems (#447)

* Fixed Mistral OCR to use current API (#448)

* Fixed Mistral OCR to use current API

* Added PDF decoder tests

* Fix Mistral OCR ident to be standard pdf-decoder (#450)

* Fix Mistral OCR ident to be standard pdf-decoder

* Correct test

* Schema structure refactor (#451)

* Write schema refactor spec

* Implemented schema refactor spec

* Structure data mvp (#452)

* Structured data tech spec

* Architecture principles

* New schemas

* Updated schemas and specs

* Object extractor

* Add .coveragerc

* New tests

* Cassandra object storage

* Trying to object extraction working, issues exist

* Validate librarian collection (#453)

* Fix token chunker, broken API invocation (#454)

* Fix token chunker, broken API invocation (#455)

* Knowledge load utility CLI (#456)

* Knowledge loader

* More tests

2025-08-18 20:56:09 +01:00

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TrustGraph MCP Tool API

This is a higher-level interface to the MCP (Model Control Protocol) tool service. The input specifies an MCP tool by name and parameters to pass to the tool.

Request/response

Request

The request contains the following fields:

name: The MCP tool name
parameters: A set of key/values describing the tool parameters

Response

The response contains either of these fields:

text: A plain text response
object: A structured object response

REST service

The REST service accepts name and parameters fields, with parameters encoded as a JSON object.

e.g.

In this example, the MCP tool takes parameters and returns a structured response in the object field.

Request:

{
    "name": "file-reader",
    "parameters": {
        "path": "/path/to/file.txt"
    }
}

Response:

{
    "object": {"content": "file contents here", "size": 1024}
}

Websocket

Requests have name and parameters fields.

e.g.

Request:

{
    "id": "akshfkiehfkseffh-142",
    "service": "mcp-tool",
    "flow": "default",
    "request": {
        "name": "file-reader",
        "parameters": {
            "path": "/path/to/file.txt"
        }
    }
}

Responses:

{
    "id": "akshfkiehfkseffh-142",
    "response": {
        "object": {"content": "file contents here", "size": 1024}
    },
    "complete": true
}

e.g.

An example which returns plain text

Request:

{
    "id": "akshfkiehfkseffh-141",
    "service": "mcp-tool",
    "request": {
        "name": "calculator",
        "parameters": {
            "expression": "2 + 2"
        }
    }
}

Response:

{
    "id": "akshfkiehfkseffh-141",
    "response": {
        "text": "4"
    },
    "complete": true
}

Pulsar

The Pulsar schema for the MCP Tool API is defined in Python code here:

https://github.com/trustgraph-ai/trustgraph/blob/master/trustgraph-base/trustgraph/schema/mcp_tool.py

Default request queue: non-persistent://tg/request/mcp-tool

Default response queue: non-persistent://tg/response/mcp-tool

Request schema: trustgraph.schema.McpToolRequest

Response schema: trustgraph.schema.McpToolResponse

Pulsar Python client

The client class is trustgraph.clients.McpToolClient

https://github.com/trustgraph-ai/trustgraph/blob/master/trustgraph-base/trustgraph/clients/mcp_tool_client.py

2.3 KiB Raw Blame History

TrustGraph MCP Tool API

Request/response

Request

Response

REST service

Websocket

Pulsar

Pulsar Python client

2.3 KiB

Raw Blame History