Is the Roadflow MCP server down?

mcp-registry/io.roadflow/roadflow · v1.0.0

healthy
Last checked 2026-10-20 13:54 UTC · handshake 564ms

As of 2026-10-20 13:54 UTC, the Roadflow MCP server is up with a Glimind reliability score of 93/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 7 outages in 90 days, with a median recovery of 12 minutes.

uptime (30d checks)
100%
checks observed
3,939
outages (90d)
7
tools
43

Create and edit roadmaps with JSON or markup; share edit and view links from AI agents.

Install Roadflow MCP server

Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http roadflow-mcp-server https://roadflow.io/mcp

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "roadflow-mcp-server": {
      "type": "http",
      "url": "https://roadflow.io/mcp"
    }
  }
}

Third-party server, listed as discovered. Review its source before installing.

Agent-readiness: D (65/100)

D (65/100): 0 error(s), 6 warning(s) across 43 tool(s); ~5,036 tokens of tool definitions.
Scores higher than 1% of 15,415 MCP servers Glimind has audited.
Its tool list costs an agent ~5,036 tokens per session — more than 60% of servers.
65 → 65 since 2026-10-17
no tool-poisoning patterns
Schemas81
Descriptions61
Safety hints0
Token cost75
Client compatibility70
Protocol100
Reliability85
Stability100

What to fix (7)

43 of 43 tool(s) carry no readOnlyHint/destructiveHint annotations.

Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →

Tools: artifacts_apply_json, artifacts_create_shared, artifacts_discard, artifacts_export_json, artifacts_get and 38 more

43 tools on one server. Tool-selection accuracy drops as the menu grows, and some clients (e.g. Cursor) cap the number of active tools.

Group tools by task into smaller servers or toolsets, and merge near-duplicates behind one tool with a mode parameter. How to fix →

95 parameter(s) across 18 tool(s) have no description.

Add a "description" to each parameter with its format and an example ("ISO 8601 date, e.g. 2026-10-17"). This is the commonest cause of wrong arguments on the first call. How to fix →

Tools: model_delete_edge, model_delete_observation, model_delete_parameter, model_evaluate, model_get and 13 more

11 tool(s) look like they change state (create/send/delete/pay…) but declare no destructiveHint.

Set annotations {"readOnlyHint": false, "destructiveHint": true|false, "idempotentHint": …}. Clients use these to ask the user before a side effect and to auto-approve safe reads. How to fix →

Tools: artifacts_create_shared, model_delete_edge, model_delete_observation, model_delete_parameter, model_patch_project and 6 more

8 tool(s) have parameters with no type (no type/enum/anyOf/$ref).

Give every parameter a "type" (or "enum"/"anyOf"). Untyped parameters make models guess — strings for numbers, objects for arrays. How to fix →

Tools: artifacts_apply_json, artifacts_new, model_new, model_patch_project, model_upsert_observation and 3 more

Handshake + tools/list takes ~2,372 ms.

Serve tools/list from memory, keep the process warm, and host close to your users. Every new agent session pays this before its first call.

No tool declares an outputSchema.

Declare outputSchema and return structuredContent (MCP 2025-06-18+). Agents can then parse results without guessing, and chain tools reliably. How to fix →

Auto-fix: 35 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 18 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fio.roadflow%2Froadflow/fixes

artifacts_apply_json 1 change
{
  "name": "artifacts_apply_json",
  "description": "Replace (or merge) the Artifacts graph with normalized JSON. Shared edit mode auto-saves to the cloud.",
  "inputSchema": {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "json": {
        "description": "Full or partial graph state, or JSON string",
        "type": "string"
      },
      "merge": {
        "type": "boolean",
        "description": "If true, merge nodes/labels arrays from payload onto current state"
      }
    },
    "additionalProperties": false
  },
  "title": "Apply Artifacts JSON"
}
artifacts_create_shared 1 change
{
  "name": "artifacts_create_shared",
  "description": "Persist the current Artifacts workspace to the cloud. Returns editUrl and viewUrl under /artifacts/.",
  "inputSchema": {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "editId": {
        "type": "string",
        "description": "Optional edit id (default: random af-…)"
      },
      "viewId": {
        "type": "string",
        "description": "Optional view id (default: random af-…)"
      }
    },
    "additionalProperties": false
  },
  "annotations": {
    "readOnlyHint": false,
    "destructiveHint": false,
    "idempotentHint": false
  },
  "title": "Create shared Artifacts graph"
}
artifacts_export_json 1 change
{
  "name": "artifacts_export_json",
  "description": "Export the current Artifacts workspace as JSON (serializeState).",
  "inputSchema": {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {}
  },
  "annotations": {
    "readOnlyHint": true
  },
  "title": "Export Artifacts JSON"
}

Get alerted

Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:

curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/io.roadflow/roadflow"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/io.roadflow/roadflow"}) over MCP.

Passed

Largest tool definitions

Static checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).

Operator? Fix these, then re-check live. Embed the readiness badge:

Markdown
[![MCP agent-readiness](https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.roadflow%2Froadflow.svg)](https://glimind.com/server/mcp-registry%2Fio.roadflow%2Froadflow?ref=badge)
HTML
<a href="https://glimind.com/server/mcp-registry%2Fio.roadflow%2Froadflow?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.roadflow%2Froadflow.svg" alt="MCP agent-readiness"></a>
reStructuredText
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.roadflow%2Froadflow.svg
   :target: https://glimind.com/server/mcp-registry%2Fio.roadflow%2Froadflow?ref=badge
   :alt: MCP agent-readiness

Tool-definition log

Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:5b6b1b76fffbe30e…, first seen 2026-10-17, included at leaf 6697 of 33,247. Version history · verify what your client received.

Tools (43)

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Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http glimind https://glimind.com/mcp

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "glimind": {
      "type": "http",
      "url": "https://glimind.com/mcp"
    }
  }
}

FAQ

Is the Roadflow MCP server down right now?

As of 2026-10-20 13:54 UTC, the Roadflow MCP server is up with a Glimind reliability score of 93/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 7 outages in 90 days, with a median recovery of 12 minutes.

How many tools does Roadflow MCP server provide?

Roadflow MCP server advertises 43 tools, including artifacts_apply_json, artifacts_create_shared, artifacts_discard, artifacts_export_json, artifacts_get.

How do I install Roadflow MCP server?

Point your MCP client at this streamable-http endpoint: https://roadflow.io/mcp

Is the Roadflow MCP server safe to connect to an AI agent?

Glimind scanned all 43 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.

Operator of Roadflow MCP server?

Status page: 90-day uptime, every outage and how long it lasted.

Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.

Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.

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