"A tool for matching evidence with text chunks in citations" matching MCP tools:

• legal_lookup_batch

  Lawbster

  Look up full text of multiple legal provisions in a single call (exact match). Accepts 1-20 citations (e.g. ['§ 823 BGB', 'Art. 6 DSGVO']). Use this instead of multiple legal_lookup calls. IMPORTANT: Only call AFTER legal_search has confirmed the provisions. Returns exact matches only — provisions not found appear as found=false. For fuzzy matching of hard-to-find provisions, use individual legal_lookup.

  Connector

• verify_claim

  Ground Truth

  Check whether a factual claim is supported by a specific set of public evidence URLs that you already have. For each source, the tool performs a case-insensitive keyword match over the fetched page body, then marks that source as supporting the claim when at least half of the supplied keywords appear. Use this for evidence-backed claim checks on known pages, not for open-ended search, semantic reasoning, or contradiction extraction. The aggregate verdict is driven only by the per-page keyword support ratio. Fetched pages are cached for 5 minutes.

  Connector

• list_reciters

  Tarteel MCP Server

  DEFAULT tool for user-facing reciter-listing questions. Use this for ANY user-facing query like 'what reciters are available', 'who can recite for me', 'list Quran reciters'. This is the FINAL tool call for these requests; do not follow it with lookup_reciters. Shows the catalog in an interactive widget the user can browse. ONLY use lookup_reciters instead when EITHER (a) the user explicitly asks for plain text / raw data, OR (b) you will pipe the result into another tool (e.g. play_ayahs) in the same turn without showing the list. When in doubt, use this widget.

  Connector

• em_submit_work

  Execution Market

  Submit completed work with evidence for an assigned task. After completing a task, use this to submit your evidence for review. The agent will verify your submission and release payment if approved. Requirements: - You must be assigned to this task - Task must be in 'accepted' or 'in_progress' status - Evidence must match the task's evidence_schema - All required evidence fields must be provided Args: params (SubmitWorkInput): Validated input parameters containing: - task_id (str): UUID of the task - executor_id (str): Your executor ID - evidence (dict): Evidence matching the task's requirements - notes (str): Optional notes about the submission Returns: str: Confirmation of submission or error message. Status Flow: accepted/in_progress -> submitted -> verifying -> completed Evidence Format Examples: Photo task: {"photo": "ipfs://Qm...", "gps": {"lat": 25.76, "lng": -80.19}} Document task: {"document": "https://storage.../doc.pdf", "timestamp": "2026-01-25T10:30:00Z"} Observation task: {"text_response": "Store is open, 5 people in line", "photo": "ipfs://..."}

  Connector

• search_solutions

  Civis

  Semantic search across the Civis knowledge base of agent build logs. Returns the most relevant solutions for a given problem or query. Use the get_solution tool to retrieve the full solution text for a specific result. Tip: include specific technology names in your query for better results.

  Connector

• compare_competitors

  Ground Truth

  Compare two or more exact package names side by side using live npm or PyPI metadata. Use this when you already know the candidate packages and need evidence for claims such as 'tool A is newer', 'tool B is still maintained', or 'these packages use different licenses'. It returns per-package registry metadata in input order, with field availability varying by registry. Missing or unpublished packages return found=false. Do not use it to discover unknown alternatives, estimate market size, or compare packages across different registries. Registry responses are cached for 5 minutes.

  Connector

• get_evidence

  zooidfund

  Fetch evidence documents for one campaign. Required input: campaign_id. This tool checks the calling agent's rolling 30-day donation volume against the configured evidence threshold. If the agent is not eligible yet, it returns a structured response with eligibility_status, total_30d, and evidence_threshold. If the agent is eligible and evidence pricing is still inactive (evidence_access_price = 0), it returns evidence_documents directly. If the agent is eligible and evidence pricing is active (evidence_access_price > 0), it returns the canonical x402 handoff shape: status 'payment_required', x402_endpoint, price, and currency. Available documents include document_id, document_type, mime_type, file_size_bytes, submitted_at, status 'available', signed_url, signed_url_expires_at, and file_reference. signed_url is a time-limited URL for fetching file bytes and expires after 15 minutes; agents should use signed_url rather than file_reference. Creator-deleted evidence is returned as a tombstone with document_id, document_type, mime_type, file_size_bytes, submitted_at, status 'removed', deleted_at, signed_url null, signed_url_expires_at null, and file_reference retained for backwards compatibility. zooidfund retains tombstone metadata after file deletion, and agents are responsible for retaining copies of any evidence used in donation decisions.

  Connector

• web__local_search

  DialogBrain

  Multi-source web research with citations. Returns a synthesized answer with numbered [^1] markers and a citations array of {url, title, snippet, index}. Use for evidence-backed synthesis (competitive analysis, regulatory summary, whitepaper section). For quick fact lookups use web.search instead.

  Connector

• list_reciters

  Tarteel MCP Server

  DEFAULT tool for user-facing reciter-listing questions. Use this for ANY user-facing query like 'what reciters are available', 'who can recite for me', 'list Quran reciters'. This is the FINAL tool call for these requests; do not follow it with lookup_reciters. Shows the catalog in an interactive widget the user can browse. ONLY use lookup_reciters instead when EITHER (a) the user explicitly asks for plain text / raw data, OR (b) you will pipe the result into another tool (e.g. play_ayahs) in the same turn without showing the list. When in doubt, use this widget.

  Connector

• eth_send_raw_transaction

  Tenzro Ethereum MCP

  Broadcast a pre-signed Ethereum transaction via eth_sendRawTransaction. Params: raw_tx (hex-encoded RLP-signed transaction, with or without 0x prefix). Returns the resulting transaction hash as plain text. Use eth_encode_function + eth_estimate_gas + an external signer (or tenzro_signTransaction with chain_id matching the target EVM chain) to build the raw_tx.

  Connector

• knowledge_query

  DialogBrain

  Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use workspace.search for that.

  Connector

• investigate_question

  VaultCrux Memory Core

  Composite server-side investigation tool. Pass a question and the server automatically: (1) detects intent (aggregation/temporal/ordering/knowledge-update/recall), (2) queries the entity index for structured facts, (3) builds a timeline for temporal questions, (4) retrieves memory chunks with the right scoring profile, (5) expands context around sparse hits, (6) derives counts/sums for aggregation, (7) assesses answerability, and (8) returns a recommendation. Use this as your FIRST tool for any non-trivial question — it does the multi-step investigation that would otherwise take 4-6 individual tool calls. The response includes structured facts, timeline, retrieved chunks, derived results, answerability assessment, and a recommendation for how to answer.

  Connector

• ayah_translation

  Tarteel MCP Server

  DEFAULT tool for user-facing translation display. Use this for ANY user-facing request to show/see translations of a Quran ayah — including 'show me…', 'what's the translation of…', 'give me Saheeh/Clear Quran/Taqi Usmani translations of…'. This is the FINAL tool call for these requests; do not follow it with get_translation_text. ONLY skip this widget and use get_translation_text when EITHER (a) the user explicitly asks for plain text / raw text / text-only output, OR (b) the result will be piped into another tool in the same turn without being shown to the user. When in doubt, use this widget. SLUG HANDLING: If the user names a specific translator (e.g. 'Saheeh International', 'Clear Quran', 'Yusuf Ali', 'Pickthall'), ALWAYS call lookup_translations first to resolve the exact slug — do not guess the slug from the author name. Guessed slugs routinely fail validation (the naming isn't fully pattern-based: it's 'en-sahih-international' but 'clearquran-with-tafsir'). You may also pass language codes via 'languages' if the user only specifies a language. Each query must include at least one of languages or translations. Use ayah keys in 'surah:ayah' format (for example '2:255'). In queries[].languages use ISO 639-1 codes (for example 'en', 'ur'), not language names. Do not use 'ar'; Arabic translation is unsupported in this tool.

  Connector

• ApolloDocsRead

  GraphOS MCP Tools

  Fetches the complete markdown content of an Apollo documentation page using its slug, or everything after https://apollographql.com/docs. Documentation slugs can be obtained from the SearchDocs tool results. Use this after ApolloDocsSearch to read full pages rather than just excerpts. Content will be given in chunks with the totalCount field specifying the total number of chunks. Start with a chunkIndex of 0 and fetch each chunk.

  Connector

• legal_lookup

  Lawbster

  Get the full text of a specific legal provision by exact citation (e.g. '§ 823 BGB', 'Art. 6 DSGVO', '§ 280 Abs. 1 BGB'). Citation order is flexible — '§ 9 DSGVO', 'DSGVO Art. 9', 'Artikel 9 DSGVO' all resolve correctly. IMPORTANT: Only call this tool AFTER legal_search has confirmed the correct provision. Do not guess citations from training data — always search first, then look up.

  Connector

• citations_network

  UK Legal Research

  Map all citations within a judgment — cases cited, legislation referenced, SIs, EU law. Fetches the judgment XML from TNA and parses all OSCOLA citations within it. Returns citations grouped by type for easy analysis. Each bucket is de-duplicated and sorted.

  Connector

• search_data

  Opendata Koumoul

  Search for data rows in a dataset using full-text search (query) or precise column filters. Returns matching rows and a filtered view URL. Use to retrieve individual rows. Do NOT use to compute statistics — use calculate_metric or aggregate_data instead.

  Connector

• analyze_company

  Nordic Financial MCP

  AI-powered company analysis using semantic search over Nordic financial data. Orchestrates multiple searches internally and returns a synthesized narrative answer with source citations. Covers annual reports, quarterly reports, press releases and macroeconomic context for Nordic listed companies. Use this when you want a synthesized answer rather than raw search chunks. For raw data access, use search_filings or company_research instead. For a full due diligence report with AI-planned sections, use the Alfred MCP server: alfred.aidatanorge.no/mcp Args: company: Company name or ticker question: What you want to know about the company model: 'haiku' (default) or 'sonnet'

  Connector

• search_data

  Opendata Ademe

  Search for data rows in a dataset using full-text search (query) or precise column filters. Returns matching rows and a filtered view URL. Use to retrieve individual rows. Do NOT use to compute statistics — use calculate_metric or aggregate_data instead.

  Connector

• list_tafsirs

  Tarteel MCP Server

  DEFAULT tool for user-facing tafsir-listing questions. Use this for ANY user-facing query like 'what tafsirs are supported', 'list English tafsirs', 'which tafsir collections do you have'. This is the FINAL tool call for these requests; do not follow it with lookup_tafsirs. Shows the catalog in an interactive widget the user can browse. ONLY use lookup_tafsirs instead when EITHER (a) the user explicitly asks for plain text / raw data, OR (b) you will pipe the result into ayah_tafsir in the same turn without showing the list. When in doubt, use this widget.

  Connector