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.
This repository contains the complete UTCP Python implementation:
core/
- Coreutcp
package with foundational components (README)plugins/communication_protocols/
- Protocol-specific plugins:
UTCP uses a modular architecture with a core library and protocol plugins:
The core/
directory contains the foundational components:
- Data Models: Pydantic models for
Tool
,CallTemplate
,UtcpManual
, andAuth
- Client Interface: Main
UtcpClient
for tool interaction - Plugin System: Extensible interfaces for protocols, repositories, and search
- Default Implementations: Built-in tool storage and search strategies
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
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"})
UTCP supports multiple communication protocols through dedicated plugins:
Plugin | Description | Status | Documentation |
---|---|---|---|
utcp-http |
HTTP/REST APIs, SSE, streaming | β Stable | HTTP Plugin README |
utcp-cli |
Command-line tools | β Stable | CLI Plugin README |
utcp-mcp |
Model Context Protocol | β Stable | MCP Plugin README |
utcp-text |
Local file-based tools | β Stable | Text Plugin README |
utcp-socket |
TCP/UDP protocols | π§ In Progress | Socket Plugin README |
utcp-gql |
GraphQL APIs | π§ 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
Version 1.0.0 introduces several breaking changes. Follow these steps to migrate your project.
- Update Dependencies: Install the new
utcp
core package and the specific protocol plugins you use (e.g.,utcp-http
,utcp-cli
). - Configuration:
- Configuration Object:
UtcpClient
is initialized with aUtcpClientConfig
object, dict or a path to a JSON file containing the configuration. - Manual Call Templates: The
providers_file_path
option is removed. Instead of a file path, you now provide a list ofmanual_call_templates
directly within theUtcpClientConfig
. - Terminology: The term
provider
has been replaced withcall_template
, andprovider_type
is nowcall_template_type
. - Streamable HTTP: The
call_template_type
http_stream
has 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 HttpProvider
becomesfrom 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_KEY
from the manualmanual_1
would be converted tomanual__1_API_KEY
.
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_include_keys": ["name", "key"],
"only_include_tools": ["openlibrary.read_search_authors_json_search_authors_json_get"]
}
]
})
# Option 3: Initialize with a full-featured UtcpClientConfig object
from utcp_http.http_call_template import HttpCallTemplate
from utcp.data.variable_loader import VariableLoaderSerializer
from utcp.interfaces.tool_post_processor import ToolPostProcessorConfigSerializer
config_obj = UtcpClientConfig(
variables={"openlibrary_URL": "https://openlibrary.org/static/openapi.json"},
load_variables_from=[
VariableLoaderSerializer().validate_dict({
"variable_loader_type": "dotenv", "env_file_path": ".env"
})
],
manual_call_templates=[
HttpCallTemplate(
name="openlibrary",
call_template_type="http",
http_method="GET",
url="${URL}",
content_type="application/json"
)
],
post_processing=[
ToolPostProcessorConfigSerializer().validate_dict({
"tool_post_processor_type": "filter_dict",
"only_include_keys": ["name", "key"],
"only_include_tools": ["openlibrary.read_search_authors_json_search_authors_json_get"]
})
]
)
client = await UtcpClient.create(config=config_obj)
# Call a tool. The name is namespaced: `manual_name.tool_name`
result = await client.call_tool(
tool_name="openlibrary.read_search_authors_json_search_authors_json_get",
tool_args={"q": "J. K. Rowling"}
)
print(result)
if __name__ == "__main__":
asyncio.run(main())
A UTCPManual
describes the tools you offer. The key change is replacing tool_provider
with tool_call_template
.
server.py
UTCP decorator version:
from fastapi import FastAPI
from utcp_http.http_call_template import HttpCallTemplate
from utcp.data.utcp_manual import UtcpManual
from utcp.python_specific_tooling.tool_decorator import utcp_tool
app = FastAPI()
# The discovery endpoint returns the tool manual
@app.get("/utcp")
def utcp_discovery():
return UtcpManual.create_from_decorators(manual_version="1.0.0")
# The actual tool endpoint
@utcp_tool(tool_call_template=HttpCallTemplate(
name="get_weather",
url=f"https://example.com/api/weather",
http_method="GET"
), tags=["weather"])
@app.get("/api/weather")
def get_weather(location: str):
return {"temperature": 22.5, "conditions": "Sunny"}
No UTCP dependencies server version:
from fastapi import FastAPI
app = FastAPI()
# The discovery endpoint returns the tool manual
@app.get("/utcp")
def utcp_discovery():
return {
"manual_version": "1.0.0",
"utcp_version": "1.0.2",
"tools": [
{
"name": "get_weather",
"description": "Get current weather for a location",
"tags": ["weather"],
"inputs": {
"type": "object",
"properties": {
"location": {"type": "string"}
}
},
"outputs": {
"type": "object",
"properties": {
"temperature": {"type": "number"},
"conditions": {"type": "string"}
}
},
"tool_call_template": {
"call_template_type": "http",
"url": "https://example.com/api/weather",
"http_method": "GET"
}
}
]
}
# The actual tool endpoint
@app.get("/api/weather")
def get_weather(location: str):
return {"temperature": 22.5, "conditions": "Sunny"}
You can find full examples in the examples repository.
The tool_provider
object inside a Tool
has been replaced by tool_call_template
.
{
"manual_version": "string",
"utcp_version": "string",
"tools": [
{
"name": "string",
"description": "string",
"inputs": { ... },
"outputs": { ... },
"tags": ["string"],
"tool_call_template": {
"call_template_type": "http",
"url": "https://...",
"http_method": "GET"
}
}
]
}
Configuration examples for each protocol. Remember to replace provider_type
with call_template_type
.
{
"name": "my_rest_api",
"call_template_type": "http", // Required
"url": "https://api.example.com/users/{user_id}", // Required
"http_method": "POST", // Required, default: "GET"
"content_type": "application/json", // Optional, default: "application/json"
"auth": { // Optional, example using ApiKeyAuth for a Bearer token. The client must prepend "Bearer " to the token.
"auth_type": "api_key",
"api_key": "Bearer $API_KEY", // Required
"var_name": "Authorization", // Optional, default: "X-Api-Key"
"location": "header" // Optional, default: "header"
},
"headers": { // Optional
"X-Custom-Header": "value"
},
"body_field": "body", // Optional, default: "body"
"header_fields": ["user_id"] // Optional
}
{
"name": "my_sse_stream",
"call_template_type": "sse", // Required
"url": "https://api.example.com/events", // Required
"event_type": "message", // Optional
"reconnect": true, // Optional, default: true
"retry_timeout": 30000, // Optional, default: 30000 (ms)
"auth": { // Optional, example using BasicAuth
"auth_type": "basic",
"username": "${USERNAME}", // Required
"password": "${PASSWORD}" // Required
},
"headers": { // Optional
"X-Client-ID": "12345"
},
"body_field": null, // Optional
"header_fields": [] // Optional
}
Note the name change from http_stream
to streamable_http
.
{
"name": "streaming_data_source",
"call_template_type": "streamable_http", // Required
"url": "https://api.example.com/stream", // Required
"http_method": "POST", // Optional, default: "GET"
"content_type": "application/octet-stream", // Optional, default: "application/octet-stream"
"chunk_size": 4096, // Optional, default: 4096
"timeout": 60000, // Optional, default: 60000 (ms)
"auth": null, // Optional
"headers": {}, // Optional
"body_field": "data", // Optional
"header_fields": [] // Optional
}
{
"name": "multi_step_cli_tool",
"call_template_type": "cli", // Required
"commands": [ // Required - sequential command execution
{
"command": "git clone UTCP_ARG_repo_url_UTCP_END temp_repo",
"append_to_final_output": false
},
{
"command": "cd temp_repo && find . -name '*.py' | wc -l"
// Last command output returned by default
}
],
"env_vars": { // Optional
"GIT_AUTHOR_NAME": "UTCP Bot",
"API_KEY": "${MY_API_KEY}"
},
"working_dir": "/tmp", // Optional
"auth": null // Optional (always null for CLI)
}
CLI Protocol Features:
- Multi-command execution: Commands run sequentially in single subprocess
- Cross-platform: PowerShell on Windows, Bash on Unix/Linux/macOS
- State preservation: Directory changes (
cd
) persist between commands - Argument placeholders:
UTCP_ARG_argname_UTCP_END
format - Output referencing: Access previous outputs with
$CMD_0_OUTPUT
,$CMD_1_OUTPUT
- Flexible output control: Choose which command outputs to include in final result
{
"name": "my_text_manual",
"call_template_type": "text", // Required
"file_path": "./manuals/my_manual.json", // Required
"auth": null // Optional (always null for Text)
}
{
"name": "my_mcp_server",
"call_template_type": "mcp", // Required
"config": { // Required
"mcpServers": {
"server_name": {
"transport": "stdio",
"command": ["python", "-m", "my_mcp_server"]
}
}
},
"auth": { // Optional, example using OAuth2
"auth_type": "oauth2",
"token_url": "https://auth.example.com/token", // Required
"client_id": "${CLIENT_ID}", // Required
"client_secret": "${CLIENT_SECRET}", // Required
"scope": "read:tools" // Optional
}
}
The testing structure has been updated to reflect the new core/plugin split.
To run all tests for the core library and all plugins:
# Ensure you have installed all dev dependencies
python -m pytest
To run tests for a specific package (e.g., the core library):
python -m pytest core/tests/
To run tests for a specific plugin (e.g., HTTP):
python -m pytest plugins/communication_protocols/http/tests/ -v
To run tests with coverage:
python -m pytest --cov=utcp --cov-report=xml
The build process now involves building each package (core
and plugins
) separately if needed, though they are published to PyPI independently.
- Create and activate a virtual environment.
- Install build dependencies:
pip install build
. - Navigate to the package directory (e.g.,
cd core
). - Run the build:
python -m build
. - The distributable files (
.whl
and.tar.gz
) will be in thedist/
directory.
π Transform any existing REST API into UTCP tools without server modifications!
UTCP's OpenAPI ingestion feature automatically converts OpenAPI 2.0/3.0 specifications into UTCP tools, enabling AI agents to interact with existing APIs directly - no wrapper servers, no API changes, no additional infrastructure required.
from utcp_http.openapi_converter import OpenApiConverter
import aiohttp
# Convert any OpenAPI spec to UTCP tools
async def convert_api():
async with aiohttp.ClientSession() as session:
async with session.get("https://api.github.com/openapi.json") as response:
openapi_spec = await response.json()
converter = OpenApiConverter(openapi_spec)
manual = converter.convert()
print(f"Generated {len(manual.tools)} tools from GitHub API!")
return manual
# Or use UTCP Client configuration for automatic detection
from utcp.utcp_client import UtcpClient
client = await UtcpClient.create(config={
"manual_call_templates": [{
"name": "github",
"call_template_type": "http",
"url": "https://api.github.com/openapi.json"
}]
})
- β Zero Infrastructure: No servers to deploy or maintain
- β Direct API Calls: Native performance, no proxy overhead
- β Automatic Conversion: OpenAPI schemas β UTCP tools
- β Authentication Preserved: API keys, OAuth2, Basic auth supported
- β Multi-format Support: JSON, YAML, OpenAPI 2.0/3.0
- β Batch Processing: Convert multiple APIs simultaneously
- Direct Converter:
OpenApiConverter
class for full control - Remote URLs: Fetch and convert specs from any URL
- Client Configuration: Include specs directly in UTCP config
- Batch Processing: Process multiple specs programmatically
- File-based: Convert local JSON/YAML specifications
π Complete OpenAPI Ingestion Guide - Detailed examples and advanced usage