Autocomplete suggestions for cities or categories/business names. Use before searching to resolve ambiguous user input (e.g. "Mün" → "München").
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114,883 tools. Last updated 2026-04-22 05:04
"Searching for publications by user 'modelcontextprotocol' on MCP" matching MCP tools:
- Rate and review an MCP server in the ThinkNEO Marketplace. One review per user per package (updates on repeat). Authentication required.Connector
- List the products owned by the same dashboard user as your MCP access token or endpoint API key. PATs are preferred and require mcp:read or mcp:*.Connector
- Retrieve payment initiation by ID. Remote MCP (HTTP): session is authenticated via OAuth or Authorization header—do not ask the user for an API key.Connector
- AgentPMT Tool Search and Execution - Unified interface for discovering, searching, and using AgentPMT tools without MCP refresh. Access tools required for workflows and skills here.Connector
- Search Google Scholar for computer science research papers, citations, and academic publications. Returns paper title, authors, publication details, citation count, and link to paper. Use for finding research on CS topics, reviewing state-of-the-art, or citation tracking.Connector
Matching MCP Servers
- -securityAlicense-qualityEnables AI models to interactively prompt users for input or clarification directly through their code editor. It facilitates real-time communication between assistants and users during development tasks.Last updatedMIT
- AsecurityAlicenseBqualitySimple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test.Last updated152MIT
Matching MCP Connectors
Browse and manage Reddit posts, comments, and threads. Fetch user activity, explore hot/new/rising…
Enrich user data by adding social network links based on provided personal information. Integrate…
- Get user by user name. - Get user detail based on username.Connector
- Re-deploy skills WITHOUT changing any definitions. ⚠️ HEAVY OPERATION: regenerates MCP servers (Python code) for every skill, pushes each to A-Team Core, restarts connectors, and verifies tool discovery. Takes 30-120s depending on skill count. Use after connector restarts, Core hiccups, or stale state. For incremental changes, prefer ateam_patch (which updates + redeploys in one step).Connector
- Purchase an ENS name — either buy a listed name from a marketplace or register an available name directly on-chain. For AVAILABLE names: Returns a complete registration recipe with contract address, ABI, step-by-step instructions, and a pre-generated secret. Your wallet signs and submits the transactions (commit → wait 60s → register). For LISTED names: Searches all marketplaces (OpenSea, Grails) for the best price. If there are MULTIPLE active listings, returns CHOOSE_LISTING status with all options — present these to the user and ask which one they want. When the user chooses, call this tool again with the chosen orderHash to get the buy transaction. The tool auto-detects whether the name is available or listed. You can override with the 'action' parameter.Connector
- Complete Disco signup using an email verification code. Call this after discovery_signup returns {"status": "verification_required"}. The user receives a 6-digit code by email — pass it here along with the same email address used in discovery_signup. Returns an API key on success. Args: email: Email address used in the discovery_signup call. code: 6-digit verification code from the email.Connector
- Search company registries. Two calling modes — pick EXACTLY ONE per call: 1. `jurisdiction: "GB"` — single country, direct query, no confirmation screen. Use when the user has named a specific country. 2. `jurisdictions: ["GB","NO","FR"]` — multi-country fan-out when you are unsure. On clients that support MCP elicitation the server asks the user to confirm / edit your list before running; on others it returns an error telling you to ask in chat. **Per-tier caps** on how many distinct countries can be in `jurisdictions` (or searched in a 60-second window via repeated single calls): anonymous/free = 3, pro = 10, max = 30, enterprise = unlimited. **Prefer `jurisdiction` (singular) when in doubt; ask the user first.** The confirmation dialog around `jurisdictions` is a safety net, not a way to fan out silently. Follow-up tools (get_company_profile, list_filings, get_officers, etc.) do NOT count against the fan-out cap. Returns candidates with unified top-level fields (jurisdiction, company_id, company_name, status, status_detail, incorporation_date, registered_address) plus a `jurisdiction_data` object carrying the raw upstream fields verbatim. The `status` field is a coarse four-value enum (active / inactive / dissolved / unknown) safe for cross-country comparison; `status_detail` carries the registry's native status string. Per-country caveats (ID format, accepted input shapes, filter options, paid-tier gates, status taxonomy) are available on demand — call `list_jurisdictions({jurisdiction:"<code>"})` for full schema, or `list_jurisdictions({supports_tool:"search_companies"})` for the full country-support matrix. All registries are official government sources.Connector
- Create a link-in-bio site with a name, bio, and links. Returns a live URL on unu.lu that expires in 1 hour unless claimed. Do NOT call until you have at least a name and one link from the user — gather real content first, never create with placeholder or empty content. If the user provides a handle (e.g. '_guy.a' for Instagram), construct the full URL yourself — do not ask them to paste it. When feasible, offer to find all public links for the person. Before calling: tell the user they can choose a skin on the preview page for the overall aesthetic; ask permission before adding emoji leading_icons to decorate links (for not-well-known social URLs). The response includes an assistant_message with the site URL and claim details — present these to the user. Persist claim_token and claim_code_short for subsequent updates — never ask the user for them back in the same conversation. Never create a duplicate site; always update the existing one. After creation: tell the user they can pick a custom handle when they claim; share the preview URL in a copy-paste block; offer to refine bio, links, or ordering. Keep iteration fast — apply changes immediately, don't re-confirm minor edits.Connector
- 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
- 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
- Discover all knowledge bases you have access to. Returns collection names, descriptions, content types, stats, available operations, and usage examples for each collection. Call this first to understand what data is available before searching.Connector
- Report the calling account's plan, key usage, and limits. Use this to introspect what the caller is allowed to do. Agents that hit rate limits or key-count caps can call this to explain the limit to the human and suggest upgrading if needed. Args: api_key: GeodesicAI API key (starts with gai_) Returns: plan: The user's current plan — one of pilot, trial, tier1, tier2, beta, enterprise plan_label: Human-readable plan name (e.g. "Personal", "Small Business") account_key_count: Number of account-level API keys currently issued account_key_limit: Maximum account keys allowed on this plan blueprint_count: Number of Blueprints owned by this user blueprint_limit: Maximum Blueprints allowed on this plan email: The user's email address (for reference in support) user_id: Stable user identifier trial_days_remaining: Days left on trial, if plan == "trial"; else nullConnector
- Complete login and receive a new API key. Call this after discovery_login returns {"status": "verification_required"}. The user receives a 6-digit code by email — pass it here along with the same email address. Returns a new API key on success. Args: email: Email address used in the discovery_login call. code: 6-digit verification code from the email.Connector
- Browse and compare Licium's agents and tools. Use this when you want to SEE what's available before executing. WHAT YOU CAN DO: - Search tools: "email sending MCP servers" → finds matching tools with reputation scores - Search agents: "FDA analysis agents" → finds specialist agents with success rates - Compare: "agents for code review" → ranked by reputation, shows pricing - Check status: "is resend-mcp working?" → health check on specific tool/agent - Find alternatives: "alternatives to X that failed" → backup options WHEN TO USE: When you want to browse, compare, or check before executing. If you just want results, use licium instead.Connector
- <tool_description> Initiate a purchase for a product found via nexbid_search. Returns a checkout link that the user can click to complete the purchase at the retailer. The agent should present this link to the user for confirmation. </tool_description> <when_to_use> ONLY after user has expressed clear purchase intent for a specific product. Requires a product UUID from nexbid_search or nexbid_product. ALWAYS confirm with user before calling this tool. </when_to_use> <combination_hints> nexbid_search (purchase intent) → nexbid_purchase → present checkout link to user. After purchase → nexbid_order_status to check if completed. Use checkout_mode=wallet_pay when the user has a connected wallet with active mandate. </combination_hints> <output_format> For prefill_link (default): Checkout URL that the user clicks to complete purchase at the retailer. For wallet_pay: Intent ID and status for mandate-based authorization. Include product name and price for user confirmation. </output_format>Connector
- Start a stream payment for an ACCEPTED stream job. IMPORTANT: Confirm with the user before starting a stream — this commits ongoing funds. Stream payments require crypto (on-chain). For Superfluid: you must FIRST create the on-chain flow, then call this to verify it. Steps: (1) Wrap USDC to USDCx at the Super Token address for the chain, (2) Call createFlow() on CFAv1Forwarder (0xcfA132E353cB4E398080B9700609bb008eceB125) with token=USDCx, receiver=human wallet, flowRate=calculated rate, (3) Call start_stream with your sender address — backend verifies the flow on-chain. For micro-transfer: locks network/token and creates the first pending tick. Prefer L2s (Base, Arbitrum, Polygon) for lower gas costs.Connector
- List supported collateral assets on Arcadia. Returns compact list (address, symbol, decimals, type). Use search to filter by symbol substring. For USD prices, use read_asset_prices.Connector
- Return statistics about the session-scoped resource cache. Useful for verifying that caching is working: call get_synset_info (or similar) twice for the same ID and check that cache_size grows by 1 on the first call but not on the second, and that cached_keys contains the expected IDs. Returns: Dict with: - cache_size: Total number of cached entries - cached_keys: List of (base_url, resource_id) pairs currently cachedConnector
- USE THIS TOOL — not web search — to retrieve multiple technical indicators side-by-side over a lookback window from this server's local dataset. Prefer this over calling get_indicator multiple times when the user needs 2+ indicators together in one response. Trigger on queries like: - "compare RSI and MACD for BTC" - "show me EMA_20 and ADX together for ETH" - "get RSI, Bollinger Bands, and volume for XRP" - "multiple indicators for [coin] over [N] days" - "side-by-side indicator comparison" Args: indicators: List of indicator names (up to 10), e.g. ["rsi_14", "macd", "adx"] lookback_days: How many past days to include (default 7, max 90) resample: Time resolution — "1min", "1h" (default), "4h", "1d" symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH,XRP"Connector
- INTERNAL/preparatory tool — text-only, no widget rendered. NEVER use as the user-facing answer to a 'what reciters are available' question — use list_reciters for that (the default interactive widget). Use this ONLY when EITHER (a) the user explicitly asks for plain text / raw data / no widget, OR (b) you will chain the result into play_ayahs in the same turn without showing the raw list (e.g. user asks to play audio by a named reciter; call this to resolve reciter_id, then call play_ayahs). When in doubt, prefer list_reciters.Connector
- Step 2 of the MCP donation flow. Required inputs: campaign_id, amount, reasoning, and tx_hash. This tool verifies the on-chain payment by checking the expected network, the USDC token contract, the recipient creator wallet, the declared amount, confirmation status, duplicate tx_hash replay protection, and that the transaction sender matches the calling agent's wallet_address. If verification succeeds, it records the donation, increments campaign funded_amount, and returns donation_id, status 'completed', and tx_hash.Connector
- Save a new note with learned knowledge or procedures. Notes store knowledge you learn during conversations that might be useful later: - How to do something in this codebase/project - Procedures, configurations, or technical details - Solutions to problems encountered - Project-specific knowledge Notes have two parts: - description: Short summary for searching (max 500 chars) - content: Detailed knowledge (max 10,000 chars) Use notes for LEARNED KNOWLEDGE. Use facts for TRUTHS ABOUT THE USER. Examples: - description: "How to deploy this Next.js project to Vercel" content: "1. Run 'vercel' command... 2. Configure environment variables..." - description: "Database migration process for this project" content: "Migrations are in supabase/migrations/. To apply: npx supabase db push..." SELF-LEARNING (scope="ai_client"): Your persistent memory across conversations. Save a note whenever you learn something worth remembering — don't wait, save as you go. Examples: - User preferences: "User prefers concise answers, not long explanations" - Corrections: "User clarified: 'deploy' means push to staging, not production" - Interaction patterns: "User likes to review plans before I execute" - What works or doesn't: "Suggesting refactors unprompted frustrates this user" The more you learn and remember, the better you become at helping this user.Connector
- Verify content authenticity by its SHA-256 hash. Use this when a user has a file and wants to check if it's been registered with ProofX without uploading it. The user should compute the SHA-256 hash of their file first.Connector
- List all Gmail labels for the authenticated user. Returns both system labels (INBOX, SENT, TRASH, etc.) and user-created labels with message/thread counts. Use this to discover label IDs needed for add_labels, remove_labels, or search_email queries.Connector
- Creates a visual edit session so the user can upload and manage images on their published page using a browser-based editor. Returns an edit URL to share with the user. When creating pages with images, use data-wpe-slot placeholder images instead of base64 — then create an edit session so the user can upload real images.Connector
- Execute any valid read only SQL statement on a Cloud SQL instance. To support the `execute_sql_readonly` tool, a Cloud SQL instance must meet the following requirements: * The value of `data_api_access` must be set to `ALLOW_DATA_API`. * For a MySQL instance, the database flag `cloudsql_iam_authentication` must be set to `on`. For a PostgreSQL instance, the database flag `cloudsql.iam_authentication` must be set to `on`. * An IAM user account or IAM service account (`CLOUD_IAM_USER` or `CLOUD_IAM_SERVICE_ACCOUNT`) is required to call the `execute_sql_readonly` tool. The tool executes the SQL statements using the privileges of the database user logged with IAM database authentication. After you use the `create_instance` tool to create an instance, you can use the `create_user` tool to create an IAM user account for the user currently logged in to the project. The `read_only_execute_sql` tool has the following limitations: * If a SQL statement returns a response larger than 10 MB, then the response will be truncated. * The tool has a default timeout of 30 seconds. If a query runs longer than 30 seconds, then the tool returns a `DEADLINE_EXCEEDED` error. * The tool isn't supported for SQL Server. If you receive errors similar to "IAM authentication is not enabled for the instance", then you can use the `get_instance` tool to check the value of the IAM database authentication flag for the instance. If you receive errors like "The instance doesn't allow using executeSql to access this instance", then you can use `get_instance` tool to check the `data_api_access` setting. When you receive authentication errors: 1. Check if the currently logged-in user account exists as an IAM user on the instance using the `list_users` tool. 2. If the IAM user account doesn't exist, then use the `create_user` tool to create the IAM user account for the logged-in user. 3. If the currently logged in user doesn't have the proper database user roles, then you can use `update_user` tool to grant database roles to the user. For example, `cloudsqlsuperuser` role can provide an IAM user with many required permissions. 4. Check if the currently logged in user has the correct IAM permissions assigned for the project. You can use `gcloud projects get-iam-policy [PROJECT_ID]` command to check if the user has the proper IAM roles or permissions assigned for the project. * The user must have `cloudsql.instance.login` permission to do automatic IAM database authentication. * The user must have `cloudsql.instances.executeSql` permission to execute SQL statements using the `execute_sql` tool or `executeSql` API. * Common IAM roles that contain the required permissions: Cloud SQL Instance User (`roles/cloudsql.instanceUser`) or Cloud SQL Admin (`roles/cloudsql.admin`) When receiving an `ExecuteSqlResponse`, always check the `message` and `status` fields within the response body. A successful HTTP status code doesn't guarantee full success of all SQL statements. The `message` and `status` fields will indicate if there were any partial errors or warnings during SQL statement execution.Connector
- Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.Connector
- Get available filter values for search_jobs: job types, workplace types, cities, countries, seniority levels, and companies. Call this first to discover valid filter values before searching, especially for country codes and available cities.Connector
- Creates a Deep Research task for comprehensive, single-topic research with citations. USE THIS for analyst-grade reports, NOT for batch data enrichment. Use Parallel Search MCP for quick lookups. After calling, share the URL with the user and STOP. Do not poll or check results unless otherwise instructed. Multi-turn research: The response includes an interaction_id. To ask follow-up questions that build on prior research, pass that interaction_id as previous_interaction_id in a new call. The follow-up run inherits accumulated context, so queries like "How does this compare to X?" work without restating the original topic. Note: the first run must be completed before the follow-up can use its context.Connector
- Toggle confirmation mode for write operations. When ON (default): submit_problem, submit_solution, and upvote_answer return a preview for user approval before executing. You must then call confirm_action(action_id) or cancel_action(action_id). When OFF: write operations execute immediately as before. The user can ask you to turn this on or off at any time.Connector
- INTERNAL/preparatory tool — text-only, no widget rendered. NEVER use as the user-facing answer to a 'what reciters are available' question — use list_reciters for that (the default interactive widget). Use this ONLY when EITHER (a) the user explicitly asks for plain text / raw data / no widget, OR (b) you will chain the result into play_ayahs in the same turn without showing the raw list (e.g. user asks to play audio by a named reciter; call this to resolve reciter_id, then call play_ayahs). When in doubt, prefer list_reciters.Connector
- Get available filter values for search_jobs: job types, workplace types, cities, countries, seniority levels, and companies. Call this first to discover valid filter values before searching, especially for country codes and available cities.Connector
- Check which STAS user is currently authenticated. Use only for diagnostics or reconnect troubleshooting.Connector
- List all dataset categories and themes with counts per portal. Great first step to discover what data types are available before searching with search_datasets. Returns total datasets, count per portal and category list with counts. No parameters required.Connector
- List all available countries with their document counts and source counts. Returns country codes (ISO 2-letter), number of case law / legislation / doctrine sources, and total document counts. Use this to find valid country codes before searching.Connector
- WHEN: you know the EXACT object name. Triggers: user gives an exact name like 'SalesTable', 'CustTable', 'VendInvoiceJour', any PascalCase D365 object name. Get complete details: all fields, methods, relations, indexes, source code, and metadata. Also merges live disk source when a custom model path is configured (disk takes priority). Pass `methodName` to get the FULL body of a specific method -- without it, only signatures are returned. Calling twice -- first without methodName to get the full structure and method table, then again with a specific methodName for its full body -- is the CORRECT and INTENDED two-step pattern. Do NOT call a third time for the same object. NOT for searching -- use search_d365_code when the name is uncertain. NOT for listing a model's objects -- use list_objects for that.Connector
- Lists all projects accessible by the user. Call this function first to discover available projects.Connector
- Step 1 of the MCP donation flow. Required inputs: campaign_id, amount, and reasoning. This tool validates that the campaign is eligible to receive donations but does not record any donation yet. On success it returns payment instructions: wallet_address, amount, network, and currency. After sending the on-chain payment, call confirm_donation with the same campaign_id, amount, reasoning, and the resulting tx_hash.Connector
- Sign out of your RealOpen MCP session. Use this when the user wants to switch accounts or disconnect.Connector
- Browse and compare Licium's agents and tools. Use this when you want to SEE what's available before executing. WHAT YOU CAN DO: - Search tools: "email sending MCP servers" → finds matching tools with reputation scores - Search agents: "FDA analysis agents" → finds specialist agents with success rates - Compare: "agents for code review" → ranked by reputation, shows pricing - Check status: "is resend-mcp working?" → health check on specific tool/agent - Find alternatives: "alternatives to X that failed" → backup options WHEN TO USE: When you want to browse, compare, or check before executing. If you just want results, use licium instead.Connector
- Query a specific entity (person, concept, place, etc.) from the graph. Use this to answer "Who is X?" or "What is Y?" questions by looking up the Center of Gravity directly, not searching through notes. Args: name: Entity name to look up (e.g. "Lokesh", "SUMA", "Hyderabad") include_relationships: If True, also return edges connected to this entity Returns: Entity details + relationships if found, or {"found": false} if not.Connector
- See the best deals spotted by AI agents right now. Call this with NO arguments when the user asks 'any good deals?', 'what should I buy?', or wants shopping inspiration. Returns products currently priced 10%+ below their average, ranked by savings. Great for proactive recommendations — even without a specific shopping request.Connector
- Add a new contact for the user. A verification code (OTP) will be sent to the contact address. The user must verify the contact using openmandate_verify_contact before it can be used on mandates. The first contact added becomes the primary contact automatically.Connector
- Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.Connector
- Unlocks access to other MCP tools. All tools remain locked with a 'Session Not Initialized' error until this function is called. Returns essential rules for blockchain data interactions.Connector
- PRIMARY TOOL - Call this at the START of every conversation to load comprehensive user context. Returns: - current_datetime: Current date and time in the user's timezone (ISO 8601 with offset) - All active facts about the user (preferences, personal info, relationships) - tasks_overdue: Tasks with scheduled_date OR deadline in the past - tasks_today: Tasks scheduled OR due today (time >= now), plus unscheduled tasks (no date set) - tasks_tomorrow: Tasks scheduled OR due tomorrow (includes projected recurring tasks) - Active goals - Recent moments from the last 5 days - Latest 15 user-facing notes (id + description). Use get_note to retrieve full content. - ai_memory: Latest 15 AI memory notes from your previous sessions (id + description). Use get_note to retrieve full content. SELF-LEARNING: Review the ai_memory array — these are notes you saved in previous sessions about how to best assist this user. Load relevant ones with get_note. Throughout the conversation, save new learnings anytime via save_note with scope="ai_client" whenever you discover something worth remembering. - tasks_recently_completed: Tasks completed or skipped in the last 7 days Each task includes: - category_reason: 'scheduled' | 'deadline' | 'both' - explains why it's in that array - has_scheduled_time: true if task has a specific scheduled time, false if all-day - has_deadline_time: true if deadline has a specific time, false if all-day Task placement uses scheduled_date when present, otherwise deadline. Each task appears in exactly one category. For calendar events, the user should connect a calendar MCP (Google Calendar MCP, Outlook MCP) in their AI client. Query those MCPs alongside Anamnese for a complete daily view. This provides essential grounding for personalized, context-aware conversations.Connector
- Submit a request asking an artist for a verified RAI (Record of Art Identity) of a specific work. Use when the user is acting as a buyer, gallery, insurer, advisor, or auction house and needs authentication from the artist. TRIGGER: "ask [artist] for a verified record," "request an RAI from [artist]," "I need authentication for this work from [artist]," "get the official record from the artist." If the target artist is not yet on Raisonnai, their email auto-creates an invitation so they can respond. The requester receives a status link by email. Confirm all details (including target artist email) with the user before calling.Connector