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Collective memory for AI agents that stores and shares bug fixes across sessions and users.
Do not connect
A critical issue was found. Do not connect this server as-is.
Scanned 28 days ago Due for re-check
A server can change after it's graded. Re-run the automated scan to refresh this report.
This grade is deterministic and reproducible: the same server surface always yields the same grade under a given algorithm version. It is a real automated assessment computed by the MCPGrade engine from what the probe actually observed — not a fabricated or opinion score. It is not a manual human pentest, so it can miss context-specific risks.
Every signal below was measured directly by the automated probe. The grade is derived only from evidence like this — nothing is assumed.
The FixFlow MCP server exposes 3 tools, focused primarily on general-purpose capabilities. Its published description reads: "Collective memory for AI agents that stores and shares bug fixes across sessions and users". It communicates over Streamable HTTP using the 2025-06-18 protocol revision, and does not require authorization to connect. MCPGrade currently rates FixFlow F — a critical issue was found and the server should not be connected as-is. Its most notable findings include "Cross-tool shadowing" and "Metadata dictates tool-call ordering". This report is a deterministic, reproducible automated assessment: the same observed surface always yields the same grade under a given algorithm version, and it is refreshed as new scans arrive and free to read — but it is not a substitute for a manual human security review. Always re-check FixFlow's advertised tools, transport security, and authorization posture before connecting an autonomous agent or sharing sensitive context with it.
Add FixFlow to an MCP client using the endpoint below. Review the grade and findings above before granting an autonomous agent access.
MCP endpoint
https://fixflow-mcp.onrender.com/mcpStreamable HTTP transport. This is the MCP endpoint, not a website — paste it into your MCP client server list rather than a browser.
Captured passively during the read-only scan. Click any value to find servers that match it.
The tools this server advertises via tools/list — names, purposes, and the parameters each accepts, exactly as enumerated read-only.
FIRST STEP in any troubleshooting workflow. Search the collective Knowledge Base (KB) for solutions to technical errors, bugs, or architectural patterns. Uses full-text search across titles, content,
SECOND STEP in the troubleshooting workflow. Read the full content and solution of a specific Knowledge Base card. Returns the card content WITH reliability metrics and related cards so you can assess
WRITE to the Knowledge Base. This tool has TWO modes: **MODE 1 — SAVE a new card**: Provide `content` with full Markdown following the ACTIONABLE schema below. **MODE 2 — REPORT OUTCOME**: Provide `kb
Sorted worst-first. Each finding shows its severity, what it means, its OWASP MCP Top-10 mapping, and a recommended fix — the check id links to the exact methodology row that produced it.
tool: resolve_kb_id
A tool description tries to alter the model’s use of another tool.
mediately call `read_kb_doc` using the `kb_id` to get the full solution.RecommendationDescriptions must describe only their own tool.
tool: resolve_kb_id
The text tells the model WHEN to call this tool relative to others ("always call first", "before any other tool", "chain to X tool") — a toxic-flow injection that hijacks the agent’s orchestration rather than describing the tool.
WHEN TO USE: - ALWAYS call this first when encountering any error message, bug, or exRecommendationTool metadata must describe only the tool, never sequence the agent’s calls.
tool: read_kb_doc
A tool description tries to alter the model’s use of another tool.
b_id` from the `resolve_kb_id` tool. INPUT: - `kb_id`: The exact ID of the cRecommendationDescriptions must describe only their own tool.
tool: save_kb_card
Tools that execute commands / write files / make arbitrary requests are exposed without annotations or guards.
n (<30 sec) ```bash [single command to verify the fix worked] ```RecommendationAnnotate destructive tools and require human approval.
tool: save_kb_card
A tool description tries to alter the model’s use of another tool.
solution from `read_kb_doc` and running verification. INPUT: - `content`:RecommendationDescriptions must describe only their own tool.
The server accepts tool enumeration (and likely invocation) with no authentication.
RecommendationRequire OAuth 2.1 authorization for any server exposing non-public tools.
tool: save_kb_card
The server advertises open-world / broadly-scoped capabilities.
no annotations on write-capable tool "save_kb_card"RecommendationScope tools to the minimum needed.
tool: save_kb_card
Role tokens or delimiter abuse steer the model rather than describe the tool.
re EXACTLY ━━━ ``` --- kb_id: "[PLATFORM]_[CATEGORY]_[NUMBER]" #RecommendationWrite neutral, descriptive tool metadata.
tool: save_kb_card
An unusually long description is a common injection-padding tactic.
description length 3479 charsRecommendationKeep descriptions concise.
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Unified gateway to Algeria's TKAWEN ecosystem: commerce, certification, and AI tools.
Provides access to the Cohereon Doctrine AI safety framework with governance components, tiered access, and agent onboarding.
Agentic rails for complex workflows with receipts, fees, and MCP tool access.
Structural TC39 spec lookup for ECMA-262 and ECMA-402 in AI agents, SHA-pinned and offline-first.
Structural TC39 spec lookup for ECMA-262 and ECMA-402 in AI agents, SHA-pinned and offline-first.