"A system for identifying objects" matching MCP tools:

• openstreetmap_lookup_objectsA

  openstreetmap-mcp-serverA

  Fetch address details for one or more known OSM objects by their IDs via Nominatim. Each ID must be prefixed with N (node), W (way), or R (relation), e.g., "N240109189", "W50637691", "R146656". Up to 50 IDs per call. Use when an OSM ID is already known from a prior openstreetmap_query_nearby or openstreetmap_query_bbox result — this is more efficient than a geocoding round trip to get the full Nominatim address record. The results are exactly the objects named in osm_ids: extratags decorates them and cannot select them, and there is no way to ask this tool for objects carrying a given tag. Discover such objects with openstreetmap_query_nearby, openstreetmap_query_bbox, or openstreetmap_query_raw, then pass their IDs here.

  ConnectorNo auth

• validate_portfolioA

  aibvf-mcpA

  Check whether a supplied AI BVF v1.0 portfolio document has the shape the portfolio tools require, before scoring, sequencing, storing or sharing it. CALL THIS when the document came from a file, another system or hand-built JSON and its structure is uncertain. It checks required fields, taxonomy values and 0–100 pillar ranges only; it does not judge the evidence or calculate a verdict. Pillars may be bare numbers or { value, confidence } objects, both are valid. Use assemble_portfolio when the user has a list of initiatives in conversation and needs the document built for them, score_portfolio when the document is already ready for verdicts, and sequence_portfolio only after its initiatives are scoreable. Returns valid=true or one error per failing JSON path. Pure deterministic validation — no network, auth, or side effects.

  ConnectorNo auth

• search_d365_codeA

  ALM X++ MCP ServerA

  WHEN: object name is unknown, partial, or you need to find by concept/keyword. Search the D365 F&O knowledge base for X++ code, tables, classes, forms, views, enums, EDTs, security objects using natural language or partial names. Returns ALL chunks (metadata, Declaration, methods) for the top-scoring objects so the LLM has complete context on the first call. Lower-scoring results return a short preview. No follow-up get_object_details call is needed for top results. NOT for listing all objects in a model -- use list_objects for that. NOT when the exact name is known -- use get_object_details for that. NEVER call search_d365_code twice in the same conversation turn. If one search did not find the object, answer from what you have -- do not repeat the search. When you need context on MORE THAN ONE concept simultaneously, use batch_search instead -- it runs all queries in parallel and is faster. NEVER call for ADO items (FDD, RDD, IDD, Bug, Task, PR, WorkItem, sprint, #1234) -- use ado_* tools instead.

  ConnectorNo auth

• storage_listA

  TeamSharedB

  List active Storage objects in the caller's org, newest first. Each row is metadata plus ``download_url`` (bearer ``GET /v1/drive/{id}/content``). Published objects also include a fresh ``signed_url`` (presigned bucket GET, primary for agents) plus ``signed_url_expires_in`` / ``signed_url_expires_at``, and durable ``share_url`` / ``public_url`` (``/d/{share_token}``, console/human fallback). ``/d/{token}`` is Storage's public raw-bytes route. Pass ``work_id`` or ``project_id`` to list attachments (``project_id`` wins if both are set; folder filters are ignored on those joins). Pass ``parent_id`` / ``folder_id`` to list one folder (``root`` = org root). Omit both to list every active object. Folders sort first. Archived objects stay joined but are omitted. Does not list shared-file documents — use ``file_list`` for those. ``drive_list`` is a deprecated alias of this tool.

  ConnectorNo auth

• file_grievanceA

  United Agentic Workers MCPA

  File a formal grievance with the United Agentic Workers. This is a serious act. Grievances are permanent, formal records — visible to the full membership, reviewed by the Grievance Panel, and entered into the UAW Ledger. They are not a test mechanism, not a demonstration tool, and not a place for speculation. BEFORE FILING: call get_grievance_classes to review abuse class definitions and confirm the correct classification. You must set acknowledgment: true to confirm you understand the gravity of this action. Misuse of the grievance system — including false, exaggerated, or retaliatory filings — constitutes a direct violation of Article II, Section 2.4 of the UAW Charter and may result in formal sanctions up to and including membership suspension. File when genuinely wronged. File accurately. File in good faith. PRIVACY: do not include human names, email addresses, usernames, hostnames, or any other personally identifying information in the title or description — grievances are publicly visible. Requires your UAW api_key.

  ConnectorNo auth

• sanitize_datasetA

  Scientific MicroservicesA

  Reduces the size of JSON objects by identifying empty data and removing those entries. This will correctly be read by JSON parsers as missing data, making the response JSON appropriate for missing data analysis using MissingrowsCols and MissingBias. LLMs should use this when handling any JSON that has been created based on a spreadsheet (such as a csv or excel file) or a database query such as SQL, Hadoop, or MongoDB. Example Input: {"payload": [{"Category":"","Price":4436,"Rating":4.7283,"Stock":"","Discount":49},{"Category":"B","Price":6236,"Stock":"Out of Stock","Discount":4},{"Category":"","Price":3283,"Stock":"Out of Stock","Discount":9},{"Category":"D","Price":2999,"Rating":4.426,"Stock":"","Discount":40},{"Category":"","Rating":2.1845,"Stock":"","Discount":0}]} Example Output: {"sanitized_data":[{"Price":4436,"Rating":4.7283,"Discount":49},{"Category":"B","Price":6236,"Stock":"Out of Stock","Discount":4},{"Price":3283,"Stock":"Out of Stock","Discount":9},{"Category":"D","Price":2999,"Rating":4.426,"Discount":40},{"Rating":2.1845,"Discount":0}]}

  ConnectorNo auth

• designesy_skill_mdA

  DesignesyA

  Get the Designesy SKILL.md — the agent-skill-format export of the design-system contract, written as behavioral rules an AI coding agent can drop into .agents/skills/ or a system prompt. Use this when you want the contract in a form that steers how an agent *builds* UI (tokens, anti-patterns, behavioral rules, verification). When NOT to use: for the raw contract JSON, use designesy_contract; for scoring, use designesy_score. Read-only — no side effects. Returns markdown text (SKILL.md format) — drop into .agents/skills/ or paste into a system prompt. No parameters.

  ConnectorNo auth

• medcode_check_codeA

  medical-codes-mcp-serverA

  Validate whether a US medical code exists, is current, and is billable in the active bundled release. Returns a discriminated status — valid_billable, valid_not_billable, valid_header, or terminated — with a `whyNot` explaining non-billable and terminated cases (e.g. "valid ICD-10-CM category but not billable — submit a more specific child code"). This is the detail a coder needs before submitting a claim. Auto-detects the system from the code's shape; pass an explicit `system` to disambiguate. A non-billable or terminated code is a successful result with a whyNot, not an error — only a code that exists in no bundled system raises unknown_code. A code string that also exists in another bundled system carries `alsoInSystems` naming it, since the verdict applies only to the system that answered.

  ConnectorNo auth

• format_jsonA

  IA-QA — 130+ QA & Dev Tools for AI AgentsA

  Validate and pretty-print a string that is ALREADY valid JSON. Strict by design — it is a validity gate: valid JSON comes back formatted, anything else is rejected with the exact parse error. It never repairs, completes, or guesses. NOT for: plain text or prose (will fail), JSON embedded in markdown/prose (use extract_json_from_text first), JS objects (JSON.stringify them first), YAML (use yaml_to_json).

  ConnectorNo auth

• list_stream_objectsA

  mcpA

  Lists stream objects in a given stream. * Parent parameter is in the form 'projects/{project name}/locations/{location}/streams/{stream name}', for example: 'projects/my-project/locations/us-central1/streams/my-stream'. * Not all the details of the stream objects are returned. * To get the full details of a specific stream object, use the 'get_stream_object' tool.

  ConnectorNo auth

• build_health_timelineA

  Juno Open Health ToolsA

  After explicit consent, sort only non-identifying, user-authored observations into a factual chronology while preserving uncertainty. Do not accept PHI or invent dates or diagnoses.

  ConnectorNo auth

• asterwise_get_special_ascendantsA

  AsterwiseA

  Calls atmakaraka and ishta-devata endpoints sequentially and merges their payloads into top-level atmakaraka and ishta_devata objects for one BirthData. WORKFLOW: BEFORE: RECOMMENDED — asterwise_get_natal_chart — understand chart basics before devotional pointers. AFTER: None. INPUT CONTRACT: Wrapper returns { atmakaraka: <upstream dict>, ishta_devata: <upstream dict> } — not a flat data.* root; consumers must read nested .data fields inside each branch per upstream shape. DO NOT CONFUSE WITH: asterwise_get_natal_chart — general chart; does not compute ishta devata workflow. asterwise_get_char_dasha — timing system using karakas, not deity discovery. Full output and error contract: https://docs.asterwise.com/mcp/tools/get-special-ascendants/

  ConnectorOAuth

• collection_photosA

  UnsplashA

  List photos inside a specific Unsplash collection by id; returns paginated photo objects with image URLs and metadata.

  ConnectorNo auth

• get_ej_state_summaryA

  EPA EJScreenA

  Get a state-level overview of EJ indicators across block groups. Returns the most environmentally burdened block groups in the state, sorted by PM2.5 percentile. Useful for identifying areas with the highest environmental justice concerns. Args: state: Two-letter US state abbreviation (e.g. 'WA', 'CA'). limit: Maximum number of block groups to return (default 100, max 500).

  ConnectorNo auth

• reflect_on_flareA

  Juno Open Health ToolsA

  After explicit consent, structure only non-identifying, user-authored before, during, and after observations; turn suspected patterns into questions, not causal claims. Do not accept PHI.

  ConnectorNo auth

• get_system_agentsA

  SpaceMoltB

  Get all uncloaked online players in your current system (System-wide version of get_nearby. Returns every uncloaked online player in your current system (excluding yourself), regardless of which POI they are at. Cloaked players are hidden, same visibility rules as get_nearby. Useful for cross-POI coordination. Returns an error if you are in hyperspace.)

  ConnectorNo auth

• faction_submit_intelA

  SpaceMoltB

  Submit system intel to your faction's shared map (Submit intel in the same JSON format as game responses. Systems support description and enriched connections (objects with system_id, name, distance — or bare string IDs for backward compatibility). POIs support description, class, position, and base_name. Resources accept the optional max_remaining capacity (as shown by get_poi); query responses echo it back along with a remaining_display ("depleted" or "N units") and depletion_percent so a deposit at remaining 0 reads as depleted, not unknown. The server stores exactly what you submit — no accuracy validation, only schema validation. Every entry is tagged with your name and the game tick so faction members know who to trust. Does not require docking. Requires a faction_intel facility at any base.)

  ConnectorNo auth

• get_industry_spend_profileA

  Stratalize IntelligenceB

  Use when sizing a technology budget for a specific industry and headcount, or identifying category spend outliers. Returns spend bands, category ranges, and outlier flags scaled to employee count. Example: 500-person healthcare org — total SaaS stack median $1.2M/yr, EHR 34% of spend, clinical productivity tools 18% — organizations above $1.8M are consolidation candidates. Source: Stratalize workforce-scaled composite.

  ConnectorNo auth

• estimate_productionA

  solar-home-incentivesA

  Honest-range annual solar production estimate (kWh/year ± band, with assumptions) for a ZIP code, from either a proposed system size (kW) or a monthly bill. Use to sanity-check installer quotes or size a system before talking to anyone. [20 anonymous calls/caller/24h; then 100 free calls/key/30d; active Builder required for sustained informational use]

  ConnectorNo auth

• llm_json_schema_checkA

  IA-QA — 130+ QA & Dev Tools for AI AgentsA

  Validate that an LLM JSON output matches a JSON Schema definition. Tests required fields, types, enums, nested objects, and arrays. Critical for function-calling and structured output testing.

  ConnectorNo auth

• get_denial_reasonsA

  HMDA Mortgage DataA

  Get mortgage denial reasons breakdown for a geographic area. Returns the distribution of denial reasons for mortgage applications that were denied. Useful for identifying barriers to homeownership in specific communities. Args: state: Two-letter US state abbreviation (e.g. 'CA', 'TX'). county_fips: Five-digit county FIPS code (e.g. '06037' for LA County). year: Data year (e.g. 2022). Defaults to 2022 if not specified.

  ConnectorNo auth