python-utcp

python-utcp provides a modular Python implementation of the Universal Tool Calling Protocol (UTCP), centered on a core client library (UtcpClient) plus pluggable protocol “call templates” (e.g., HTTP, CLI, MCP, file/text, websocket). It supports defining a tool “manual” (discovery) and calling tools via configured call templates using typed (Pydantic) models.

Evaluated Mar 30, 2026 (21d ago)
Homepage ↗ Repo ↗ Ai Ml ai ai-agent-tools tool-calling mcp http python pydantic plugins
⚙ Agent Friendliness
51
/ 100
Can an agent use this?
🔒 Security
52
/ 100
Is it safe for agents?
⚡ Reliability
25
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
30
Documentation
70
Error Messages
0
Auth Simplicity
55
Rate Limits
20

🔒 Security

TLS Enforcement
75
Auth Strength
50
Scope Granularity
30
Dep. Hygiene
50
Secret Handling
55

Security posture is largely configuration-dependent because UTCP is a client/library that calls out to configured URLs/commands/servers. README emphasizes use of typed models (Pydantic) and includes an auth field for HTTP call templates, but the provided excerpt does not document secure defaults (e.g., TLS-only enforcement, certificate validation behavior, secret redaction/logging, CSRF-like concerns for callbacks, or robust scope enforcement). Ensure secrets are provided via environment/secure stores (README mentions dotenv loading) and avoid logging sensitive variables.

⚡ Reliability

Uptime/SLA
0
Version Stability
45
Breaking Changes
25
Error Recovery
30
AF Security Reliability

Best When

You want a Python-native, plugin-based way for agents to discover and call tools across multiple transport styles (especially HTTP/SSE/streaming and MCP) with structured data models.

Avoid When

You need a single, standardized public API surface with OpenAPI/Swagger for this specific package itself (the standard interface is the client/library + plugins, not a packaged SaaS with documented endpoints).

Use Cases

  • Building tool-calling clients that can invoke heterogeneous backends (HTTP APIs, local CLI commands, MCP servers, file/text tools).
  • Standardizing “tool manuals” (discovery + schemas) for agents to discover available tools.
  • Implementing an agent-friendly integration layer that routes tool calls through different communication protocols.
  • Creating configurable tool registries using call templates, variable substitution, and post-processing of results.

Not For

  • Directly serving as a public REST API for your application (it is primarily a client/tool-calling library).
  • Guaranteed production security compliance out of the box without careful configuration of auth and transport at the protocol/plugin level.
  • Use where strict, documented SLAs/operational reliability guarantees are required (no evidence of service uptime or operational monitoring).

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
No

Authentication

Methods: Plugin-dependent auth for HTTP call templates (auth object in call template configuration, per README snippet) No explicit global auth method described for the core client in the provided README excerpt
OAuth: No Scopes: No

The provided README excerpt indicates that HTTP call templates support an optional auth object, but it does not show concrete auth schemes, scope support, or end-to-end authentication patterns for the core UtcpClient. Authentication complexity and strength therefore depend on the selected plugin and its auth configuration.

Pricing

Free tier: No
Requires CC: No

No pricing/service model described; this is an open-source Python library with dependencies via pip.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Tool naming is namespaced as manual_name.tool_name (client handles it, but agents/integrations must use correct tool identifiers).
  • Breaking changes from 0.x to 1.0.0 (e.g., provider->call_template, streamable_http->streamable_http renamed to streamable_http?; terminology changes).
  • Variable substitution namespacing behavior (manual__<name>_VAR) can affect expected payload shapes if downstream tools rely on exact key names.

Alternatives

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Scores are editorial opinions as of 2026-03-30.

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Packages Evaluated
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