qoder-mcp-server

An MCP server package intended to expose Qoder-related functionality to AI agents via the Model Context Protocol (MCP).

Evaluated Apr 04, 2026 (17d ago)
Homepage ↗ Repo ↗ DevTools mcp agent-tools integration ai-automation qoder
⚙ Agent Friendliness
38
/ 100
Can an agent use this?
🔒 Security
42
/ 100
Is it safe for agents?
⚡ Reliability
28
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
55
Documentation
35
Error Messages
0
Auth Simplicity
50
Rate Limits
20

🔒 Security

TLS Enforcement
60
Auth Strength
40
Scope Granularity
30
Dep. Hygiene
40
Secret Handling
40

No concrete repository/manifest details were provided here to confirm TLS enforcement, auth mechanism, scope granularity, dependency status, or secret handling practices.

⚡ Reliability

Uptime/SLA
0
Version Stability
40
Breaking Changes
40
Error Recovery
30
AF Security Reliability

Best When

When you have an MCP-capable agent runtime and want tool invocation through MCP rather than custom REST calls.

Avoid When

When you need OpenAPI/REST endpoints, webhooks, or an SDK in a specific language for client-side integration.

Use Cases

  • Agentic workflows that need to call Qoder functions/tools via MCP
  • Integrating Qoder operations into chat/agent runtimes that support MCP

Not For

  • Direct browser-based usage
  • Workloads that require a traditional REST/GraphQL/SDK integration instead of MCP

Interface

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

Authentication

OAuth: No Scopes: No

No authentication details were provided in the supplied content, so auth method/requirements are not verifiable from this input.

Pricing

Free tier: No
Requires CC: No

No pricing information was provided.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • MCP servers commonly require specific runtime configuration (env vars/transport) that is not verifiable from the provided input.
  • Without documented tool schemas and explicit error/retry guidance, agent behavior on failures may be inconsistent.

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

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