colab-mcp

Colab-mcp is a Python MCP server intended to let an MCP-capable agent interact with Google Colab (e.g., to run or manage Colab-related actions). It’s distributed as a CLI script (colab-mcp) and is designed to be launched by an MCP client configuration (mcp.json-style).

Evaluated Mar 30, 2026 (0d ago)
Repo ↗ Ai Ml ai-ml devtools infrastructure mcp python google-colab automation agents
⚙ Agent Friendliness
40
/ 100
Can an agent use this?
🔒 Security
34
/ 100
Is it safe for agents?
⚡ Reliability
30
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
50
Documentation
40
Error Messages
0
Auth Simplicity
50
Rate Limits
10

🔒 Security

TLS Enforcement
60
Auth Strength
20
Scope Granularity
10
Dep. Hygiene
60
Secret Handling
30

TLS enforcement and transport security are not documented in the supplied materials (score assumes typical local MCP deployment over loopback, but this is unverified). Authentication/authorization controls for the MCP server are not documented (strong uncertainty). Dependency list includes OAuth/jupyter-related libraries; no vulnerability/CVE information is provided, so hygiene is estimated rather than confirmed. Secret handling (logging/env usage) is not documented in the supplied text, so confidence is low.

⚡ Reliability

Uptime/SLA
0
Version Stability
55
Breaking Changes
40
Error Recovery
25
AF Security Reliability

Best When

You want an MCP tool interface for Colab automation and you control the server process locally or within a trusted environment, and you can consult the repo for the exact MCP tools and runtime behavior.

Avoid When

You need a turnkey, well-documented production API with explicit auth, rate limits, and operational guarantees; avoid if you cannot review the server implementation for security and reliability details.

Use Cases

  • Agent-driven automation around Google Colab workflows (e.g., triggering runs, managing notebooks, or coordinating Colab sessions).
  • Tooling integration for MCP-enabled agent frameworks that can call MCP tools.
  • Local/private agent operations where an MCP server is preferred over REST wrappers.

Not For

  • Production environments needing a clearly documented, audited public HTTP API contract (no REST/GraphQL/gRPC spec is provided in the supplied data).
  • Use cases requiring strong, documented authentication/authorization controls for remote tool invocation (not described in the supplied materials).
  • Teams needing guaranteed SLA, uptime guarantees, and comprehensive reliability/error-recovery guidance (not provided in the supplied data).

Interface

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

Authentication

OAuth: No Scopes: No

The provided README/manifest snippet does not describe any auth mechanism for calling the MCP server. Dependencies include OAuth-related libraries, but no concrete auth flow, required credentials, or scope model is documented in the supplied text.

Pricing

Free tier: No
Requires CC: No

Open-source Python package (Apache-2.0 noted in repo metadata). No pricing information is provided in the supplied materials.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • The README provided does not list MCP tool names, input/output schemas, or error semantics; an agent may need repo code inspection to understand tool behavior.
  • No rate-limit documentation is present in the supplied materials.
  • Auth/credentials requirements for Colab interactions are not described here; depending on implementation, agents may fail without proper environment setup.

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

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