python-utcp
Official python implementation of UTCP. UTCP is an open standard that lets AI agents call any API directly, without extra middleware.
Install / Use
claude mcp add universal-tool-calling-protocol -- npx -y github:universal-tool-calling-protocol/python-utcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Our assessment of python-utcp
python-utcp scores 92/100 on our quality scale, 260th of 965 AI & Machine Learning skills we index (top 27%).
Its MCP Server is 27 KB long, well organised into 58 sections with 25 code examples: a thorough specification that gives an agent plenty to work with.
It has 665 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated 11 days ago, so python-utcp is actively maintained.
- Our last check on 2026-10-18 found the source still online.
- It is released under MPL-2.0, a copyleft license: you can use it, but modified versions you distribute must carry the same license.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
python-utcp compared with similar skills
All 4 of these similar skills score higher than python-utcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| python-utcp (this skill)by universal-tool-calling-protocol | 92 | 665 | 11d ago | MCP Server |
| claude-memby thedotmack | 100 | 113.5k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.2k | today | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 90.9k | 10d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.9k | today | CLAUDE.md |
Frequently asked questions
- How do I install python-utcp?
- Run
claude mcp add universal-tool-calling-protocol -- npx -y github:universal-tool-calling-protocol/python-utcp. The install tabs above show the steps for each supported agent. - Which AI agents does python-utcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is python-utcp safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MPL-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is python-utcp still maintained?
- The repository was last updated 11 days ago, so python-utcp is actively maintained.
Skill content
View source on GitHubUniversal Tool Calling Protocol (UTCP)
Introduction
The Universal Tool Calling Protocol (UTCP) is a secure, scalable standard for defining and interacting with tools across a wide variety of communication protocols. UTCP 1.0.0 introduces a modular core with a plugin-based architecture, making it more extensible, testable, and easier to package.
In contrast to other protocols, UTCP places a strong emphasis on:
- Scalability: UTCP is designed to handle a large number of tools and providers without compromising performance.
- Extensibility: A pluggable architecture allows developers to easily add new communication protocols, tool storage mechanisms, and search strategies without modifying the core library.
- Interoperability: With a growing ecosystem of protocol plugins (including HTTP, SSE, CLI, and more), UTCP can integrate with almost any existing service or infrastructure.
- Ease of Use: The protocol is built on simple, well-defined Pydantic models, making it easy for developers to implement and use.
Repository Structure
This repository contains the complete UTCP Python implementation:
core/- Coreutcppackage with foundational components (README)plugins/communication_protocols/- Protocol-specific plugins:
Architecture Overview
UTCP uses a modular architecture with a core library and protocol plugins:
Core Package (utcp)
The core/ directory contains the foundational components:
- Data Models: Pydantic models for
Tool,CallTemplate,UtcpManual, andAuth - Client Interface: Main
UtcpClientfor tool interaction - Plugin System: Extensible interfaces for protocols, repositories, and search
- Default Implementations: Built-in tool storage and search strategies
Quick Start
Installation
Install the core library and any required protocol plugins:
# Install core + HTTP plugin (most common)
pip install utcp utcp-http
# Install additional plugins as needed
pip install utcp-cli utcp-mcp utcp-text
Basic Usage
from utcp.utcp_client import UtcpClient
# Create client with HTTP API
client = await UtcpClient.create(config={
"manual_call_templates": [{
"name": "my_api",
"call_template_type": "http",
"url": "https://api.example.com/utcp"
}]
})
# Call a tool
result = await client.call_tool("my_api.get_data", {"id": "123"})
# Release the connections this client opened
await client.close()
Protocol Lifetime: Shared vs. Per-Client Instances
A protocol plugin registers itself in one of two registries, and the choice decides who its state belongs to.
An instance registered with register_communication_protocol is shared by every UtcpClient in the process, and so is any state it keeps. That is right for state that is meant to be shared — a credential cache, a registry a decorator writes into — and wrong for state that belongs to one client. A shared instance lives as long as the process; no client closes it.
A protocol whose state must not be shared between clients registers a factory instead: live sessions or connections keyed per manual, child processes — anything one client's use or close() would take away from another. Each UtcpClient calls the factory once — at creation, or on first use if it was registered later — so each client gets its own instance, its own connections, and its own teardown on close():
from utcp.plugins.discovery import register_communication_protocol_factory
register_communication_protocol_factory("custom_type", CustomCommunicationProtocol)
This is what makes "a client per tenant / per user / per pooled connection" actually isolate them, rather than every client reaching into one shared instance. A type registered as a factory wins over the same type registered as an instance, so a plugin migrates by moving its registration from one call to the other and callers change nothing.
utcp-mcp and utcp-websocket register this way — MCP sessions (and, for stdio, child processes) and per-manual WebSocket connections belong to the client that opened them. utcp-http (HTTP, SSE, streamable HTTP) and utcp-gql stay shared instances: the only state they keep is an OAuth token cache, which is meant to be reused across clients; every request opens its own session.
client.close() closes the instances the client created — every one of them, even if one fails, after which the failures are raised together as UtcpProtocolCloseError. If UtcpClient.create fails after creating them, they are closed the same way before the error is re-raised.
Protocol Plugins
UTCP supports multiple communication protocols through dedicated plugins:
| Plugin | Description | Status | Documentation |
|--------|-------------|--------|---------------|
| utcp-http | HTTP/REST APIs, SSE, streaming | ✅ Stable | HTTP Plugin README |
| utcp-cli | Command-line tools | ✅ Stable | CLI Plugin README |
| utcp-mcp | Model Context Protocol | ✅ Stable | MCP Plugin README |
| utcp-text | Local file-based tools | ✅ Stable | Text Plugin README |
| utcp-websocket | WebSocket real-time bidirectional communication | ✅ Stable | WebSocket Plugin README |
| utcp-socket | TCP/UDP protocols | 🚧 In Progress | Socket Plugin README |
| utcp-gql | GraphQL APIs | 🚧 In Progress | GraphQL Plugin README |
For development, you can install the packages in editable mode from the cloned repository:
# Clone the repository
git clone https://github.com/universal-tool-calling-protocol/python-utcp.git
cd python-utcp
# Install the core package in editable mode with dev dependencies
pip install -e "core[dev]"
# Install a specific protocol plugin in editable mode
pip install -e plugins/communication_protocols/http
Migration Guide from 0.x to 1.0.0
Version 1.0.0 introduces several breaking changes. Follow these steps to migrate your project.
- Update Dependencies: Install the new
utcpcore package and the specific protocol plugins you use (e.g.,utcp-http,utcp-cli). - Configuration:
- Configuration Object:
UtcpClientis initialized with aUtcpClientConfigobject, dict or a path to a JSON file containing the configuration. - Manual Call Templates: The
providers_file_pathoption is removed. Instead of a file path, you now provide a list ofmanual_call_templatesdirectly within theUtcpClientConfig. - Terminology: The term
providerhas been replaced withcall_template, andprovider_typeis nowcall_template_type. - Streamable HTTP: The
call_template_typehttp_streamhas been renamed tostreamable_http.
- Configuration Object:
- Update Imports: Change your imports to reflect the new modular structure. For example,
from utcp.client.transport_interfaces.http_transport import HttpProviderbecomesfrom utcp_http.http_call_template import HttpCallTemplate. - Tool Search: If you were using the default search, the new strategy is
TagAndDescriptionWordMatchStrategy. This is the new default and requires no changes unless you were implementing a custom strategy. - Tool Naming: Tool names are now namespaced as
manual_name.tool_name. The client handles this automatically. - Variable Substitution Namespacing: Variables that are substituted in different
call_templates, are first namespaced with the name of the manual with the_duplicated. So a key in a tool call template calledAPI_KEYfrom the manualmanual_1would be converted tomanual__1_API_KEY.
Usage Examples
1. Using the UTCP Client
config.json (Optional)
You can define a comprehensive client configuration in a JSON file. All of these fields are optional.
{
"variables": {
"openlibrary_URL": "https://openlibrary.org/static/openapi.json"
},
"load_variables_from": [
{
"variable_loader_type": "dotenv",
"env_file_path": ".env"
}
],
"tool_repository": {
"tool_repository_type": "in_memory"
},
"tool_search_strategy": {
"tool_search_strategy_type": "tag_and_description_word_match"
},
"manual_call_templates": [
{
"name": "openlibrary",
"call_template_type": "http",
"http_method": "GET",
"url": "${URL}",
"content_type": "application/json"
},
],
"post_processing": [
{
"tool_post_processor_type": "filter_dict",
"only_include_keys": ["name", "key"],
"only_include_tools": ["openlibrary.read_search_authors_json_search_authors_json_get"]
}
]
}
client.py
import asyncio
from utcp.utcp_client import UtcpClient
from utcp.data.utcp_client_config import UtcpClientConfig
async def main():
# The UtcpClient can be created with a config file path, a dict, or a UtcpClientConfig object.
# Option 1: Initialize from a config file path
# client_from_file = await UtcpClient.create(config="./config.json")
# Option 2: Initialize from a dictionary
client_from_dict = await UtcpClient.create(config={
"variables": {
"openlibrary_URL": "https://openlibrary.org/static/openapi.json"
},
"load_variables_from": [
{
"variable_loader_type": "dotenv",
"env_file_path": ".env"
}
],
"tool_repository": {
"tool_repository_type": "in_memory"
},
"tool_search_strategy": {
"tool_search_strategy_type": "tag_and_description_word_match"
},
"manual_call_templates": [
{
"name": "openlibrary",
"call_template_type": "http",
"http_method": "GET",
"url": "${URL}",
"content_type": "application/json"
}
],
"post_processing": [
{
"tool_post_processor_type": "filter_dict",
"only_inc
Truncated for display — read the full file on GitHub.
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From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
