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OpenFIGI MCP — financial-instrument symbology.

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Status
Unhealthy
Uptime
34.5% over 51 days
Last Tested
Transport
Streamable HTTP
URL
Repository
pipeworx-io/mcp-openfigi
GitHub Stars
0
Server Listing
mcp-openfigi

TDQS

A3.8/5.0

Scored across 39 tools

Disambiguation2/5

Multiple tool clusters have unclear boundaries: ask_pipeworx_beta is explicitly described as currently identical to ask_pipeworx; search, filter, map, and resolve_entity all convert identifiers/names to FIGIs via different routes; and polymarket_arbitrage and polymarket_edges both detect partition-overround arbitrage while scan_competitor_ai_presence merely wraps ai_visibility_check. The descriptions are exceptionally detailed, but an agent navigating these near-duplicates would frequently struggle to pick the right one.

Naming Consistency2/5

Naming conventions are wildly mixed: generic bare verbs (filter, map, search, remember, forget), verb_noun (resolve_entity, generate_llms_txt, scan_dependency), noun-only (entity_profile, company_facts), and domain-prefixed names (polymarket_edges, kalshi_weather_edge). 'filter' and 'map' are particularly misleading as they suggest generic programming operations rather than financial-identifier lookups, and the ask_pipeworx family appends qualifiers inconsistently (beta, grounded).

Tool Count2/5

At 39 tools, this server is well past the coherence sweet spot. The sprawl includes meta-tools (discover_tools, suggest_questions, ask_pipeworx) that exist largely to navigate the oversized surface, and several tools (generate_llms_txt, scan_dependency, ai_visibility_check) that belong to unrelated domains. The server name 'Openfigi' implies a narrow identifier-lookup service, which makes the 39-tool grab bag even harder to justify.

Completeness4/5

Core workflows are well-covered: identifier lookup (name, exact, bulk, entity resolution), company research (profile, period-specific facts, comparison, change feed), Q&A (casual, grounded, deep, claim verification), prediction markets (scan, arb, fill risk, cross-venue, resolution audit), and memory/subscription lifecycles. Minor gaps remain: the FIGI tools expose only market sector with no price/trade data by design, and historical multi-period financials are reachable only indirectly through the ask_pipeworx router rather than as first-class tools.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 24 tool updates
    • Changedai_visibility_check1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "entity": "Tesla"
        +  }
        +]
    • Changedask_pipeworx_beta1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "question": "What is the current US unemployment rate?"
        +  }
        +]
    • Changedask_pipeworx_grounded1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "question": "What was Apple's fiscal 2023 revenue?"
        +  }
        +]
    • Changedcompany_facts5 fields changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "attribute": "revenue",
        +    "company": "AAPL",
        +    "period": {
        +      "fiscal_year": 2023,
        +      "type": "annual"
        +    }
        +  }
        +]
      • addedInput schema / properties / as_of
        Added value: +{
        +  "description": "Past ISO timestamp with timezone. Replay the latest answer actually recorded by that instant; no invented history or live fallback.",
        +  "type": "string"
        +}
      • addedInput schema / properties / exclude_publishers
        Added value: +{
        +  "description": "Publisher ids forbidden for fact retrieval: sec, fmp, alphavantage. Case and surrounding whitespace are normalized; unknown ids are refused. Excluding sec currently leaves no eligible fact source and returns unavailable/sources_excluded with the selection reasons. Identity and fiscal-calendar lookups may still use SEC; no excluded financial concept is fetched.",
        +  "items": {
        +    "type": "string"
        +  },
        +  "type": "array"
        +}
      • addedInput schema / properties / freshness
        Added value: +{
        +  "description": "cached (default) permits an eligible stored answer; fresh requires an upstream refresh and never silently falls back to stale data.",
        +  "enum": [
        +    "cached",
        +    "fresh"
        +  ],
        +  "type": "string"
        +}
      • addedInput schema / properties / max_age
        Added value: +{
        +  "description": "Maximum age in seconds of the upstream publication, not our fetch. Older or undated facts are withheld.",
        +  "maximum": 3155760000,
        +  "minimum": 0,
        +  "type": "number"
        +}
    • Changedcompare_entities1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "type": "company",
        +    "values": [
        +      "AAPL",
        +      "MSFT"
        +    ]
        +  }
        +]
    • Changeddeep_research1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "depth": "quick",
        +    "question": "What is the current US unemployment rate and how has it changed over the past year?"
        +  }
        +]
    • Changedentity_profile1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "type": "company",
        +    "value": "AAPL"
        +  }
        +]
    • Changedfilter4 fields changed
      • addedOutput schema / properties / count
        Added value: +{
        +  "type": "number"
        +}
      • addedOutput schema / properties / items
        Added value: +{
        +  "items": {
        +    "properties": {
        +      "data": {
        +        "items": {
        +          "properties": {
        +            "compositeFIGI": {
        +              "type": "string"
        +            },
        +            "exchCode": {
        +              "type": "string"
        +            },
        +            "figi": {
        +              "type": "string"
        +            },
        +            "marketSector": {
        +              "type": "string"
        +            },
        +            "name": {
        +              "type": "string"
        +            },
        +            "securityDescription": {
        +              "type": "string"
        +            },
        +            "securityType": {
        +              "type": "string"
        +            },
        +            "securityType2": {
        +              "type": "string"
        +            },
        +            "shareClassFIGI": {
        +              "type": "string"
        +            },
        +            "ticker": {
        +              "type": "string"
        +            }
        +          },
        +          "type": "object"
        +        },
        +        "type": "array"
        +      },
        +      "error": {
        +        "type": "string"
        +      }
        +    },
        +    "type": "object"
        +  },
        +  "type": "array"
        +}
      • removedOutput schema / properties / query
        Removed value: -{
        -  "description": "Filter parameters (idType, idValue, exchCode, currency)",
        -  "type": "object"
        -}
      • removedOutput schema / properties / result
        Removed value: -{
        -  "description": "Array of matching instruments",
        -  "items": {
        -    "description": "Instrument record matching the filter criteria",
        -    "type": "object"
        -  },
        -  "type": "array"
        -}
    • Changedgenerate_llms_txt1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "url": "https://pipeworx.io"
        +  }
        +]
    • Changedpipeworx_feedback1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "message": "Fleet #2184 smoke test: verifying pipeworx_feedback example call returns non-empty.",
        +    "type": "other"
        +  }
        +]
    • Changedpipeworx_trending1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "window": "7d"
        +  }
        +]
    • Changedpolymarket_arbitrage1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "topic": "Fed rate decision"
        +  }
        +]
    • Changedpolymarket_edge_tracker1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "days": 14,
        +    "window": "1wk"
        +  }
        +]
    • Changedpolymarket_edges3 fields changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "limit": 5,
        +    "window": "1wk"
        +  }
        +]
      • changedInput schema / properties / min_edge_pp / description
        Previous value: -"Minimum |edge| in percentage points to include (default 0.5). Edge is evaluated NET of slippage."New value: +"Minimum |edge| in percentage points to include (default 0.5). Edge is evaluated NET of slippage and Polymarket's own taker fee."
      • changedInput schema / properties / slippage_pp / description
        Previous value: -"Assumed execution slippage in percentage points per leg (default 0.3). Subtracted from raw |edge| before ranking and Kelly sizing. Polymarket has zero trading fees as of 2024 but bid/ask + thin depth typically eats 20-50bp per trade. Bump for very thin partitions; drop to 0 if you have a smarter fill model."New value: +"Assumed execution slippage in percentage points per leg (default 0.3), for bid/ask + thin depth cost that a last-trade price does not show. Subtracted from raw |edge| before ranking and Kelly sizing, ON TOP OF Polymarket's own taker fee — which is NOT zero (rate 0.04-0.07 depending on category, read off each market's own published fee schedule; see fees_pp_applied on every row and fees.ts for the full schedule). Bump slippage for very thin partitions; drop to 0 if you have a smarter fill model — the fee still applies regardless."
    • Changedpolymarket_fill_risk1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "market": "will-the-fed-increase-interest-rates-by-25-bps-after-the-december-2026-meeting-20260729232808636",
        +    "side": "buy_yes",
        +    "size_usd": 1000
        +  }
        +]
    • Changedrecent_changes1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "since": "30d",
        +    "type": "company",
        +    "value": "AAPL"
        +  }
        +]
    • Changedremember1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "key": "target_ticker",
        +    "value": "AAPL"
        +  }
        +]
    • Changedresolve_entity1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "type": "company",
        +    "value": "AAPL"
        +  }
        +]
    • Changedscan_competitor_ai_presence1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "entities": [
        +      "Pipeworx",
        +      "Zapier"
        +    ]
        +  }
        +]
    • Changedscan_dependency1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "package": "left-pad"
        +  }
        +]
    • Changedsearch4 fields changed
      • addedOutput schema / properties / data
        Added value: +{
        +  "items": {
        +    "properties": {
        +      "compositeFIGI": {
        +        "type": [
        +          "string",
        +          "null"
        +        ]
        +      },
        +      "exchCode": {
        +        "type": [
        +          "string",
        +          "null"
        +        ]
        +      },
        +      "figi": {
        +        "type": "string"
        +      },
        +      "marketSector": {
        +        "type": "string"
        +      },
        +      "name": {
        +        "type": "string"
        +      },
        +      "securityDescription": {
        +        "type": [
        +          "string",
        +          "null"
        +        ]
        +      },
        +      "securityType": {
        +        "type": "string"
        +      },
        +      "securityType2": {
        +        "type": "string"
        +      },
        +      "shareClassFIGI": {
        +        "type": [
        +          "string",
        +          "null"
        +        ]
        +      },
        +      "ticker": {
        +        "type": "string"
        +      }
        +    },
        +    "type": "object"
        +  },
        +  "type": "array"
        +}
      • addedOutput schema / properties / next
        Added value: +{
        +  "type": "string"
        +}
      • removedOutput schema / properties / query
        Removed value: -{
        -  "description": "The search query string",
        -  "type": "string"
        -}
      • removedOutput schema / properties / result
        Removed value: -{
        -  "description": "Array of matching instruments",
        -  "items": {
        -    "description": "Instrument record with FIGI, name, and metadata",
        -    "type": "object"
        -  },
        -  "type": "array"
        -}
    • Changedsearch_within1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "query": "supply-chain risk",
        +    "text": "Apple Inc. reported fiscal 2023 revenue of $383.285 billion, driven by strong iPhone and Services growth. Net income was $96.995 billion. The company faced supply-chain risk in China during the quarter."
        +  }
        +]
    • Changedsuggest_questions1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "topic": "finance"
        +  }
        +]
    • Changedvalidate_claim1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "claim": "Apple's fiscal 2023 revenue was $383 billion"
        +  }
        +]
  2. 5 tool updates
    • Addedcompany_facts
    • Addedkalshi_weather_edge
    • Addedrelease_calendar_markets
    • Addedresolution_audit
    • Addedresolution_diff
  3. 2 tool updates
    • Changedbet_research2 fields changed
      • changedInput schema / examples
        Previous value: -[
        -  {
        -    "market": "will-bitcoin-reach-100k-in-july-2026"
        -  },
        -  {
        -    "market": "https://polymarket.com/event/will-bitcoin-hit-150k-by-june-30-2026"
        -  }
        -]New value: +[
        +  {
        +    "market": "will-kristi-noem-win-the-2028-republican-presidential-nomination"
        +  },
        +  {
        +    "market": "https://polymarket.com/event/will-kristi-noem-win-the-2028-republican-presidential-nomination"
        +  }
        +]
      • changedInput schema / properties / market / description
        Previous value: -"Polymarket slug (\"will-bitcoin-hit-150k-by-june-30-2026\"), full URL (\"https://polymarket.com/event/...\"), or question text (\"Will Bitcoin hit $150k by June 30?\")"New value: +"Polymarket slug (\"will-kristi-noem-win-the-2028-republican-presidential-nomination\"), full URL (\"https://polymarket.com/event/...\"), or question text (\"Will Bitcoin hit $150k?\"). Dated slugs stop resolving once they settle — Polymarket de-indexes resolved markets — so prefer an undated one."
    • Changedpolymarket_kalshi_spread2 fields changed
      • changedInput schema / examples
        Previous value: -[
        -  {
        -    "topic": "fed"
        -  },
        -  {
        -    "topic": "btc"
        -  }
        -]New value: +[
        +  {
        +    "topic": "fed"
        +  },
        +  {
        +    "topic": "btc"
        +  },
        +  {
        +    "topic": "bitcoin"
        +  },
        +  {
        +    "topic": "fed rate decision"
        +  }
        +]
      • changedInput schema / properties / topic / description
        Previous value: -"Pre-mapped: fed | btc | cpi | gdp | sp500 | recession | next_pope | next_uk_pm | next_israel_pm | 2028_president"New value: +"Subject to compare. Canonical keys: fed | btc | eth | cpi | gdp | sp500 | recession | next_pope | next_uk_pm | next_israel_pm | 2028_president — but aliases and keywords resolve too (\"bitcoin\", \"fed rate decision\", \"ethereum\", \"inflation\", \"s&p 500\", \"us recession\", \"next pope\", \"2028 election\"). Check resolution.topic_matched_by in the response: \"exact\"/\"alias\" is a curated pairing, \"phrase\"/\"token\" is a keyword guess."

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