Is the Getgapup Gapup MCP server down?

mcp-registry/io.github.getgapup/gapup-mcp · v0.2.0

healthy
Last checked 2026-10-19 23:53 UTC · handshake 793ms

As of 2026-10-19 23:53 UTC, the Getgapup Gapup MCP server is up with a Glimind reliability score of 82/100 (grade B). Over the last 30 days it answered 99.8% of Glimind's liveness checks. It had 36 outages in 90 days, with a median recovery of 6 minutes.

uptime (30d checks)
99.8%
checks observed
3,935
outages (90d)
36
tools
280

271 agent-payable tools: competitive intel, finance, KYC, compliance, ESG. x402 per-call.

Install Getgapup Gapup MCP server

Add to Cursor Add to VS Code

Claude Code

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

Claude Desktop · Windsurf · Cline (mcpServers JSON)

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

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

Agent-readiness: C (70/100)

C (70/100): 1 error(s), 5 warning(s) across 279 tool(s); ~114,304 tokens of tool definitions.
Scores higher than 5% of 15,380 MCP servers Glimind has audited.
Its tool list costs an agent ~114,304 tokens per session — more than 99% of servers.
70 → 70 since 2026-10-17
no tool-poisoning patterns
Schemas90
Descriptions53
Safety hints75
Token cost5
Client compatibility100
Protocol100
Reliability85
Stability100

What to fix (7)

Loading this server's tool list costs an agent ~114,304 tokens before any work — more than 99% of MCP servers.

Split rarely-used tools into a separate server or a toolset the client can enable, or expose one "search tools" entry point. Many agents load every connected server's tools into every request. How to fix →

279 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 →

630 parameter(s) across 149 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: abm_architect, abm_lookalike_account_finder, account_expansion_mapper, action_plan_esg, affiliate_fraud_clickstream_detector and 144 more

9 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: competitor_moves, cross_sell_reco, executive_comp_peer_benchmark, ftg_seller_catalog, ftg_sourcing_buyers and 4 more

1 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: workflow_orchestrator

Handshake + tools/list takes ~2,328 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.

8 of 279 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: building_enrich, kalshi_markets, polymarket_events, polymarket_markets, prediction_markets_search and 3 more

Auto-fix: 3 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 149 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.getgapup%2Fgapup-mcp/fixes

prediction_markets_search 1 change
{
  "name": "prediction_markets_search",
  "description": "Search live prediction markets across Polymarket and Kalshi in one call. Returns a single normalised shape for both venues — question, implied probability (0-1), volume, end date, venue and URL — so you never have to reconcile two different price formats. Raw venue fields are preserved.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "async": {
        "type": "boolean",
        "description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts."
      },
      "limit": {
        "type": "integer",
        "maximum": 50,
        "minimum": 1,
        "description": "Maximum markets to return (default 20)"
      },
      "query": {
        "type": "string",
        "maxLength": 200,
        "description": "Free-text filter on the market question. Omit to get the most active markets."
      },
      "venues": {
        "type": "array",
        "items": {
          "enum": [
            "polymarket",
            "kalshi"
          ],
          "type": "string"
        },
        "description": "Which venues to query (default both)"
      },
      "includeRaw": {
        "type": "boolean",
        "description": "Include each venue's original fields (default false)"
      },
      "includeClosed": {
        "type": "boolean",
        "description": "Include settled markets (default false)"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}
web_search 1 change
{
  "name": "web_search",
  "description": "Neural and keyword web search over the live web. Returns ranked results with title, URL, publication date and author, optionally with the page text. Sub-second on repeat queries (5-minute cache).",
  "inputSchema": {
    "type": "object",
    "required": [
      "query"
    ],
    "properties": {
      "type": {
        "enum": [
          "neural",
          "keyword",
          "auto"
        ],
        "type": "string",
        "description": "Search mode (default auto)"
      },
      "async": {
        "type": "boolean",
        "description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts."
      },
      "query": {
        "type": "string",
        "maxLength": 500,
        "minLength": 2,
        "description": "The search query"
      },
      "category": {
        "enum": [
          "company",
          "research paper",
          "news",
          "pdf",
          "github",
          "tweet",
          "personal site",
          "linkedin profile",
          "financial report"
        ],
        "type": "string",
        "description": "Restrict results to one kind of page"
      },
      "numResults": {
        "type": "integer",
        "maximum": 25,
        "minimum": 1,
        "description": "How many results (default 10)"
      },
      "includeText": {
        "type": "boolean",
        "description": "Include the page text in each result (default false)"
      },
      "excludeDomains": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "maxItems": 20
      },
      "includeDomains": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "maxItems": 20
      },
      "startPublishedDate": {
        "type": "string",
        "description": "ISO-8601 date; only pages published after it"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}
workflow_orchestrator 1 change
{
  "name": "workflow_orchestrator",
  "description": "Meta-tool that CHAINS multiple MCP tools sequentially into a named workflow — delivering a composite output in a single call. 10 predefined workflows: compliance_full_audit (6 steps: KYC+sanctions+AI_gov+privacy+ESRS+CSRD), deal_due_diligence (7 steps: deep_dive+registry+court+patents+KYC+financials+M&A), market_entry_brief (6 steps: country_study+regulations+procurement+tax+AGOA+market_brief), competitor_intelligence_pack (5 steps: deep_dive+intel+patents+earnings+pitch_deck), esg_360 (5 steps:",
  "inputSchema": {
    "type": "object",
    "required": [
      "workflow",
      "target"
    ],
    "properties": {
      "async": {
        "type": "boolean",
        "description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts."
      },
      "params": {
        "type": "object",
        "description": "Optional overrides passed to sub-tools. Keys depend on workflow (e.g., country, sector, role, drug, technology, wallet_address, acquirer).",
        "additionalProperties": true
      },
      "target": {
        "description": "The entity to analyze. A company name for most workflows; location for climate_property_assessment; role+country for talent_market_brief.",
        "type": "string"
      },
      "workflow": {
        "enum": [
          "compliance_full_audit",
          "deal_due_diligence",
          "market_entry_brief",
          "competitor_intelligence_pack",
          "esg_360",
          "ip_freedom_to_operate",
          "climate_property_assessment",
          "pharma_target_screen",
          "sanctions_360",
          "talent_market_brief"
        ],
        "type": "string",
        "description": "Named workflow to execute. Each workflow chains 3-7 tools sequentially."
      },
      "skip_failed_steps": {
        "type": "boolean",
        "description": "Default true: continue on step failure. Set false to abort on first error."
      }
    }
  },
  "annotations": {
    "title": "Workflow Orchestrator",
    "readOnlyHint": true,
    "openWorldHint": true
  }
}

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.github.getgapup/gapup-mcp"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/io.github.getgapup/gapup-mcp"}) 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:

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HTML
<a href="https://glimind.com/server/mcp-registry%2Fio.github.getgapup%2Fgapup-mcp?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.getgapup%2Fgapup-mcp.svg" alt="MCP agent-readiness"></a>
reStructuredText
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   :target: https://glimind.com/server/mcp-registry%2Fio.github.getgapup%2Fgapup-mcp?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 sha256:84f84ad9e7833623…, first seen 2026-10-17, included at leaf 3692 of 29,531. Version history · verify what your client received.

Tools (280)

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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 Getgapup Gapup MCP server down right now?

As of 2026-10-19 23:53 UTC, the Getgapup Gapup MCP server is up with a Glimind reliability score of 82/100 (grade B). Over the last 30 days it answered 99.8% of Glimind's liveness checks. It had 36 outages in 90 days, with a median recovery of 6 minutes.

How many tools does Getgapup Gapup MCP server provide?

Getgapup Gapup MCP server advertises 280 tools, including abm_architect, abm_lookalike_account_finder, account_expansion_mapper, action_plan_esg, adversarial_input_stress_tester.

How do I install Getgapup Gapup MCP server?

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

Is the Getgapup Gapup MCP server safe to connect to an AI agent?

Glimind scanned all 279 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 Getgapup Gapup 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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