clarifai-mcp-server-local

Provides a local (user-run) Model Context Protocol (MCP) server that bridges MCP clients to Clarifai’s API. It exposes MCP tools for uploading files, generating images from text, and running image inference by local path or URL, plus read-only MCP resources for listing/searching/reading Clarifai entities (inputs, annotations, models, model versions, datasets). It communicates with the client over JSON-RPC 2.0 via stdio and calls Clarifai using a gRPC client with a Clarifai Personal Access Token (PAT) provided via CLI flag.

Evaluated Apr 04, 2026 (16d ago)
Repo ↗ Ai Ml mcp clarifai go gRPC json-rpc stdio image-generation image-inference local-bridge
⚙ Agent Friendliness
50
/ 100
Can an agent use this?
🔒 Security
43
/ 100
Is it safe for agents?
⚡ Reliability
22
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
78
Documentation
55
Error Messages
0
Auth Simplicity
55
Rate Limits
10

🔒 Security

TLS Enforcement
30
Auth Strength
65
Scope Granularity
30
Dep. Hygiene
40
Secret Handling
45

Transport security to the Clarifai API is not described (TLS for gRPC is unclear from provided content). Auth relies on a PAT passed on the command line; this is prone to accidental exposure via shell history/process listings/logging. No documentation is provided about PAT scopes, least-privilege, or server-side secret handling. Rate limits and other operational safeguards are not documented.

⚡ Reliability

Uptime/SLA
0
Version Stability
35
Breaking Changes
30
Error Recovery
25
AF Security Reliability

Best When

You want an agent/IDE to call Clarifai capabilities (generation/inference/search) through standard MCP methods while keeping media transfer and orchestration on the user’s machine.

Avoid When

You need an externally hosted API (REST/GraphQL) with documented rate-limit policies and service-level guarantees, or you cannot safely store/handle Clarifai PATs on a client machine.

Use Cases

  • IDE/agent workflows that need Clarifai inference or image generation via MCP tools
  • Uploading local media to Clarifai as inputs from an automated local workflow
  • Running image inference on local files or remote image URLs without custom client code
  • Discovering Clarifai resources (models/datasets/inputs) through MCP resources/read-only interfaces
  • Using search-by-text and search-by-image to retrieve Clarifai hits for downstream processing

Not For

  • Production-grade services that require a managed/hosted endpoint (it is explicitly intended to run locally)
  • Environments where agents cannot handle image/file outputs or local filesystem side effects
  • Use cases needing fine-grained authorization beyond a single PAT per run
  • High-reliability systems without robust operational monitoring and explicit retry/idempotency guarantees

Interface

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

Authentication

Methods: Clarifai PAT via --pat CLI flag (added to gRPC request metadata)
OAuth: No Scopes: No

Authentication is by a Clarifai Personal Access Token provided on the command line; the README does not describe scope granularity or least-privilege guidance.

Pricing

Free tier: No
Requires CC: No

Costs depend on Clarifai API usage. This MCP wrapper itself does not define pricing.

Agent Metadata

Pagination
cursor/page-number style via resources/list cursor parameter described as page number
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • PAT is provided as a CLI argument; agents should avoid logging command lines or process lists
  • Some tool outputs may be base64 for small images or saved file paths for large images—agents must handle both
  • Tool inputs require absolute file paths for filepath-based operations
  • Cursor pagination is described as representing page number; ensure correct cursor usage per resource type
  • Dataset version reading is 'not yet implemented' per README, so resource templates may not be fully functional

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Scores are editorial opinions as of 2026-04-04.

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