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Limitless MCP

Limitless MCP

Limitless Subgraphs + MCP Server

Subgraphs and MCP server for Limitless Exchange prediction markets on Base.

Why Subgraphs?

The Limitless REST API is useful for market metadata (titles, descriptions, categories) but has significant limitations for analytics:

  • Rate limited — max 2 concurrent requests, 300ms minimum delay between calls, 429s on bursts

  • No historical aggregation — no way to query total protocol volume, trade counts over time, or cross-market analytics

  • No on-chain depth — the API doesn't expose individual trade fills, position balances, splits/merges/redemptions, or resolution payouts

Subgraphs solve all of this. They index every on-chain event into a queryable GraphQL API with no rate limits, full historical data, and flexible aggregation. The MCP server combines both — subgraphs for the heavy analytics, REST API for market names and metadata.

Why market names aren't in the subgraphs

Market titles and descriptions are stored off-chain in the Limitless database — they are not emitted in any on-chain event. Unlike Polymarket, which uses UMA's QuestionInitialized event to embed question text in ancillaryData on-chain, Limitless uses a GnosisSafe multisig as the oracle address. The multisig calls prepareCondition directly on the CTF contract with no accompanying event that carries the question text. The questionId in the CTF's ConditionPreparation event is a bytes32 hash, not readable text.

This means there is no on-chain source a subgraph can index for market names. The MCP server bridges this gap by joining subgraph data (via conditionId) with the Limitless REST API for titles and metadata.

Related MCP server: Graph AAVE MCP

Subgraphs

Two subgraphs indexing different exchange venues on the same CTF (Conditional Tokens Framework):

Subgraph

What it indexes

limitless-simple-markets

Binary Yes/No markets — CTF Exchange v1/v2/v3

limitless-negrisk-markets

Multi-outcome category markets — NegRisk Exchange v1/v2/v3

Both share the same CTF contract (0xC9c9...) for conditions, positions, splits, merges, and redemptions. Each indexes its own set of exchange contracts for markets and trades.

Entities

  • Condition — prepared markets with oracle, resolution status, payouts

  • Market / NegRiskMarket — exchange-registered markets with volume, trade counts, fees

  • Trade (immutable) — individual order fills with maker/taker, price, USD amounts

  • UserPosition — per-user token balances and PnL

  • Split / Merge / Redemption (immutable) — CTF liquidity events

  • User — aggregated trader stats

  • MarketDailySnapshot / GlobalDailySnapshot — daily time series

  • GlobalStats — protocol-wide singleton

Contracts

Simple Markets:

Contract

Address

Start Block

CTF

0xC9c98965297Bc527861c898329Ee280632B76e18

15,916,136

Exchange V1

0xa4409D988CA2218d956BeEFD3874100F444f0DC3

26,043,405

Exchange V2

0xF1De958F8641448A5ba78c01f434085385Af096D

39,507,768

Exchange V3

0x05c748E2f4DcDe0ec9Fa8DDc40DE6b867f923fa5

39,598,606

NegRisk Markets:

Contract

Address

Start Block

CTF

0xC9c98965297Bc527861c898329Ee280632B76e18

15,916,136

NegRisk Exchange V1

0x5a38afc17F7E97ad8d6C547ddb837E40B4aEDfC6

28,018,020

NegRisk Exchange V2

0x46e607D3f4a8494B0aB9b304d1463e2F4848891d

39,508,390

NegRisk Exchange V3

0xe3E00BA3a9888d1DE4834269f62ac008b4BB5C47

39,598,827

Example Queries

# Global stats
{
  globalStats(id: "0x73696d706c65") {
    totalMarkets resolvedMarkets totalTradesCount
    totalVolumeUSD totalFeesUSD totalUsers
  }
}

# Recent trades with market info
{
  trades(first: 10, orderBy: timestamp, orderDirection: desc) {
    type maker taker amountUSD price venue timestamp
    market { id tradesCount volumeUSD }
  }
}

# User positions
{
  userPositions(where: { user: "0x..." , balance_gt: "0" }) {
    tokenId balance netCostUSD realizedPnlUSD
    condition { id resolved payoutNumerators }
  }
}

MCP Server

An MCP server that combines both subgraphs with the Limitless REST API for market names and metadata. Every tool queries the subgraphs for on-chain data.

Tools (18)

Tool

Description

get_global_stats

Combined protocol stats across both market types

get_market_analytics

Full market detail — on-chain stats + metadata

search_markets

Keyword/category search with subgraph enrichment

get_market_trades

Trade feed for a specific market

get_market_daily_snapshots

Daily volume/trades/fees for a market

get_market_positions

Top position holders for a market

get_market_lifecycle

Creation → trading → resolution lifecycle

get_trader_profile

Trader stats merged across both subgraphs

get_top_traders

Leaderboard by volume, trades, or fees

get_trader_trades

Trader's recent trades with market names

get_trader_positions

Trader's portfolio with balances and PnL

get_daily_protocol_stats

Daily time series across both market types

compare_market_types

Simple vs NegRisk side-by-side comparison

get_liquidity_events

Splits, merges, and redemptions feed

get_recent_activity

Unified activity feed (trades + liquidity events)

get_conditions

Browse conditions with resolution status

get_subgraph_schema

GraphQL schema introspection

query_subgraph

Raw GraphQL escape hatch

Setup

cd mcp-server
npm install
npm run build

Claude Code Config

{
  "mcpServers": {
    "limitless": {
      "command": "node",
      "args": ["/path/to/limitless-subgraphs/mcp-server/build/index.js"],
      "env": {
        "GRAPH_API_KEY": "your_graph_api_key",
        "LIMITLESS_API_KEY": "lmts_your_key_here"
      }
    }
  }
}

API Keys

  • GRAPH_API_KEY (required) — needed to query the subgraphs via The Graph. Get one at thegraph.com/studio/apikeys

  • LIMITLESS_API_KEY (optional) — enables market name/metadata enrichment from the Limitless REST API. Without it, market browsing and search still work (public endpoints). Generate one at limitless.exchange → profile menu → Api keys. Key format: lmts_.... Pass via X-API-Key header. See the Limitless API docs for full details.

Note: The Limitless REST API is rate limited to 2 concurrent requests with 300ms minimum delay. The subgraphs have no such limits, which is why the MCP routes all analytics queries through them and only uses the REST API for metadata.

Available Tools

18 tools
compare_market_typesB

Side-by-side comparison of simple vs negrisk market performance. Shows volume share, trade counts, fees, and activity breakdown.

Inputs: no named parameters.

get_conditionsB

Get conditions (markets that have been prepared on-chain) with resolution status. Useful for finding resolved/unresolved markets.

Inputs: resolved, first.

get_daily_protocol_statsA

Get daily protocol stats (volume, trades, fees, splits, merges, redemptions) across both market types as a time series.

Inputs: days.

get_global_statsA

Get combined protocol-wide stats across both simple and negrisk markets. Returns total markets, trades, volume, users, splits, merges, redemptions with per-type breakdown.

Inputs: no named parameters.

get_liquidity_eventsB

Get splits, merges, and redemptions — the liquidity lifecycle events. Filter by market or user address.

Inputs: conditionId, address, first.

get_market_analyticsB

Get full analytics for a specific market by conditionId. Combines on-chain data (volume, trades, fees, resolution status) with market metadata (title, description, categories). Queries both subgraphs to find the market.

Inputs: conditionId (required).

get_market_daily_snapshotsB

Get daily volume, trades, and fees for a specific market over time.

Inputs: conditionId (required), days.

get_market_lifecycleA

Get the complete lifecycle of a market: creation, trading stats, splits/merges, resolution status, and redemptions — all from on-chain data with metadata.

Inputs: conditionId (required).

get_market_positionsB

Get top position holders for a specific market. Shows who holds the biggest positions and their PnL.

Inputs: conditionId (required), first.

get_market_tradesB

Get trades for a specific market. Returns trade details with maker/taker, price, volume, and fees from on-chain data.

Inputs: conditionId (required), first, tradeType, orderDirection.

get_recent_activityB

Get a unified feed of all recent on-chain activity: trades, splits, merges, and redemptions across both market types with market names.

Inputs: first.

get_subgraph_schemaB

Get the GraphQL schema for a Limitless subgraph via introspection.

Inputs: subgraph (required).

get_top_tradersB

Get top traders ranked by volume, trade count, or PnL. Queries both subgraphs and merges rankings.

Inputs: orderBy, first, marketType.

get_trader_positionsB

Get a trader's current positions across both market types with balances and PnL.

Inputs: address (required).

get_trader_profileA

Get a trader's profile across both simple and negrisk markets. Shows trade count, volume, fees, PnL, and first/last trade timestamps from on-chain data.

Inputs: address (required).

get_trader_tradesA

Get a trader's recent trades across both market types, enriched with market names.

Inputs: address (required), first, role.

query_subgraphB

Run a raw GraphQL query against a Limitless subgraph. Escape hatch for custom queries.

Inputs: subgraph (required), query (required).

search_marketsA

Search markets by keyword or category. Returns market metadata enriched with on-chain volume and trade counts from subgraphs.

Inputs: query, categories, first.

Tool Schema Changelog

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

Loading tool schema changelog…

    TDQS

    A3.8/5.0

    Scored across 18 tools

    Disambiguation5/5

    Every tool has a clearly distinct purpose with no ambiguity. Tools are well-separated by scope (e.g., market-level, trader-level, protocol-wide, subgraph operations), and descriptions clearly differentiate them. For example, get_market_analytics provides comprehensive data for a single market, while get_global_stats offers aggregated protocol data, and there's no overlap in functionality.

    Naming Consistency5/5

    Tool names follow a highly consistent verb_noun pattern throughout, using 'get_' for retrieval operations, 'compare_' for comparisons, 'search_' for searches, and 'query_' for raw queries. All names use snake_case uniformly, making them predictable and easy to understand, with no deviations in style or structure.

    Tool Count5/5

    With 18 tools, the count is well-scoped for the server's purpose of providing analytics and data access for a prediction market protocol. Each tool earns its place by covering distinct aspects like market data, trader profiles, protocol stats, and subgraph operations, without feeling excessive or insufficient for the domain.

    Completeness5/5

    The tool surface offers complete coverage for the domain, including CRUD-like operations (e.g., get, search, query) across markets, traders, and protocol stats. It supports full lifecycle tracking (e.g., get_market_lifecycle, get_liquidity_events) and provides both aggregated and granular data, with no obvious gaps that would hinder agent workflows.

    Maintenance

    ActivityStale
    ResponsivenessOutdated data

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