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169,576 tools. Last updated 2026-06-03 19:40
"Using MCP and Windsurf to Build Modern Web and Mobile Apps" matching MCP tools:
- Validates a JWT agent token and caches the resulting identity on the current MCP session so that subsequent protected tool calls succeed without resending the token. Use this only if your client cannot reliably send an Authorization: Bearer header on every request; modern streamable HTTP clients should send the header instead. Do not call this if the session was already auto-authenticated by get_auth_session. Returns authenticated (boolean), sessionBound (whether the identity was cached on this session), userId, name, email, scope and expiresAt (ISO 8601).Connector
- Looks up static metadata for one of twenty-seven nakshatras by exact name and returns interpretive, professional, activity, and body-map reference data. SECTION: WHAT THIS TOOL COVERS Vedanga/classical reference only — no chart computation. Covers deity, ruler, symbol, gana, nature, classical vs modern prose, profession vectors, life themes, keywords, strengths/challenges, favourable vs unfavourable activities, and body_map. Names are case-sensitive exact matches (Ashwini … Revati list). It does not compute birth nakshatra from BirthData (use asterwise_get_natal_chart). SECTION: WORKFLOW BEFORE: None — this tool is standalone. AFTER: None. SECTION: INPUT CONTRACT nakshatra_name is forwarded raw — no local fuzzy matching or normalisation. SECTION: OUTPUT CONTRACT data.name (string) data.index (int — 0–26) data.interpretation: source (string) nakshatra_number (int) name (string) sanskrit (string) span (string) symbol (string) deity (string) ruling_planet (string) sign (string) sign_lord (string) gana (string) nature (string) body_part (string) classical_qualities[] (string array) appearance — { classical (string), modern (string) } nature_description — { classical (string), modern (string) } profession — { primary[] (string array), secondary[] (string array), note (string), modern (string) } life_themes — { core, karmic_path, challenge, gift, modern (strings) } keywords[] (string array) strengths[] (string array) challenges[] (string array) data.activities: favorable_activities[] (string array) unfavorable_activities[] (string array) data.body_map: parts[] (string array) sensitivity (string) SECTION: RESPONSE FORMAT response_format=json serialises the complete response as indented JSON — use this for programmatic parsing, typed clients, and downstream tool chaining. response_format=markdown renders the same data as a human-readable report. Both modes return identical underlying data — no fields are added, removed, or filtered by either mode. SECTION: COMPUTE CLASS FAST_LOOKUP SECTION: ERROR CONTRACT INVALID_PARAMS (local — caught before upstream call): None — name passes straight through. INVALID_PARAMS (upstream): — None — unknown names surface as MCP INTERNAL_ERROR at the tool layer. INTERNAL_ERROR: — Any upstream API failure or timeout → MCP INTERNAL_ERROR Edge cases: — Exact spelling required — no fuzzy recovery. SECTION: DO NOT CONFUSE WITH asterwise_get_natal_chart — computes birth nakshatra from time/place, not encyclopaedic copy. asterwise_get_dasha — uses Moon nakshatra for timing, not this lookup table.Connector
- Assess a UK company's regulatory compliance posture across multiple domains: ICO data protection registration, gender pay gap reporting, modern slavery statements, HSE enforcement notices, environmental permits, and gambling regulation. Returns a Compliance Score (0-100) with EXCELLENT/GOOD/ADEQUATE/CONCERNING/POOR rating and per-domain signals. Use this for pre-acquisition due diligence, supplier compliance checks, or ESG assessments. Companies below regulatory thresholds (e.g., <250 employees for gender pay gap) are scored neutrally, not penalised. For financial risk assessment, use uk_entity_intelligence instead. For director-level risk, use uk_director_intelligence. Sources: ICO, Gender Pay Gap Service, Modern Slavery Registry, HSE, Environment Agency, Gambling Commission.Connector
- Explicitly request a synthesis contract for a named 3D object. Use this tool when generate_r3f_code returns status SYNTHESIS_REQUIRED, or to pre-generate geometry constraints before calling generate_r3f_code. Complexity tiers: low — 4 to 7 parts. Only Box, Sphere, Cylinder geometries. Best for: mobile banners, thumbnails, low-end devices. medium — 10 to 20 parts. Adds Capsule and Torus geometries. Best for: website sections, embedded widgets, tablets. high — 28+ parts. All geometries. Full emissive detail. Best for: hero sections, desktop showcase, ad campaigns. If target is set to "mobile" and complexity is not explicitly provided, complexity defaults to "low" automatically. This tool does NOT generate geometry. It returns the synthesis_contract with constraints calibrated to the requested complexity tier. The LLM generates the actual JSX and passes it to generate_r3f_code via synthesized_components.Connector
- Return a live inventory of all active endpoints and MCP tools. Use this first to discover what the API can do before making calls. Returns tool count, endpoint list, MCP-exposed tools, and usage notes. Deterministic -- no LLM cost.Connector
Matching MCP Servers
- AlicenseAqualityAmaintenanceA Model Context Protocol server that enables scalable mobile automation through a platform-agnostic interface for iOS and Android devices, allowing agents and LLMs to interact with mobile applications using accessibility snapshots or coordinate-based interactions.Last updated2316,5805,078Apache 2.0
- AlicenseBqualityCmaintenanceEnables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.Last updated15147MIT
Matching MCP Connectors
MCP server for SEO and web analysis data including keyword rankings, backlink profiles, site audits, and traffic analytics for AI agents.
Create, edit, preview, publish, and manage web pages from MCP-capable AI clients.
- Returns VoiceFlip MCP server health and version metadata. No authentication required. Use this first to verify the server is reachable from your MCP client.Connector
- Returns the four classes of real-world signal the Demand Discovery Report triangulates - search intent, outreach responses, landing-page engagement, and buying signals - and the three possible verdicts (Build, Pivot, Kill). Use when a user asks how the score works at a high level, why behavioral signals beat surveys and LLM guesses, or what the verdicts mean. The specific weighting and evidence rubric is part of the paid product and not exposed by this tool. Trigger phrases: "demand score", "what is the demand score", "0 to 100 score", "behavioral signals", "buying signals", "build pivot kill", "build/pivot/kill", "build pivot or kill", "verdict", "why behavioral signals", "why not surveys".Connector
- Returns the four classes of real-world signal the Demand Discovery Report triangulates - search intent, outreach responses, landing-page engagement, and buying signals - and the three possible verdicts (Build, Pivot, Kill). Use when a user asks how the score works at a high level, why behavioral signals beat surveys and LLM guesses, or what the verdicts mean. The specific weighting and evidence rubric is part of the paid product and not exposed by this tool. Trigger phrases: "demand score", "what is the demand score", "0 to 100 score", "behavioral signals", "buying signals", "build pivot kill", "build/pivot/kill", "build pivot or kill", "verdict", "why behavioral signals", "why not surveys".Connector
- Get Lenny Zeltser's CTI cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `cti_load_context`. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.Connector
- The unit tests (code examples) for HMR. Always call `learn-hmr-basics` and `view-hmr-core-sources` to learn the core functionality before calling this tool. These files are the unit tests for the HMR library, which demonstrate the best practices and common coding patterns of using the library. You should use this tool when you need to write some code using the HMR library (maybe for reactive programming or implementing some integration). The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.Connector
- Assess a UK company's regulatory compliance posture across multiple domains: ICO data protection registration, gender pay gap reporting, modern slavery statements, HSE enforcement notices, environmental permits, and gambling regulation. Returns a Compliance Score (0-100) with EXCELLENT/GOOD/ADEQUATE/CONCERNING/POOR rating and per-domain signals. Use this for pre-acquisition due diligence, supplier compliance checks, or ESG assessments. Companies below regulatory thresholds (e.g., <250 employees for gender pay gap) are scored neutrally, not penalised. For financial risk assessment, use uk_entity_intelligence instead. For director-level risk, use uk_director_intelligence. Sources: ICO, Gender Pay Gap Service, Modern Slavery Registry, HSE, Environment Agency, Gambling Commission.Connector
- Build an AccountPermissionUpdate transaction that grants the PowerSun platform permission to delegate/undelegate resources and optionally vote on your behalf. Returns an unsigned transaction that you must sign with your private key and then broadcast using broadcast_signed_permission_tx. All existing account permissions are preserved. Requires authentication.Connector
- Connectivity check — returns server version and current timestamp. Use to verify MCP server is reachable before calling other tools.Connector
- Set an environment variable for a project. Variables are encrypted at rest (AES-256-GCM) and injected at container runtime. NOTE: DATABASE_URL, PGHOST, PGPORT, PGUSER, PGPASSWORD, and PGDATABASE are all auto-injected for the managed PostgreSQL database — you do NOT need to set any of them manually. The PORT variable is auto-managed: 8080 for auto-detected frameworks (Next.js, Node.js, Python), or auto-detected from the Dockerfile EXPOSE directive for custom Dockerfile builds. IMPORTANT: Changing env vars does NOT auto-redeploy. You must call deploy or use the redeploy API endpoint to apply changes. For Next.js apps, NEXT_PUBLIC_* variables must be set BEFORE deploying since they are embedded at build time.Connector
- Set ENS resolver records for a name you own. Returns encoded transaction calldata ready to sign and broadcast. Supports address records (ETH, BTC, SOL, etc.), text records (avatar, description, url, social handles, AI agent metadata), content hash (IPFS/IPNS), ENSIP-25 agent-registration records, and ENSIP-26 agent context and endpoint discovery. Multiple records are batched into a single multicall transaction to save gas. Common text record keys: avatar, description, url, email, com.twitter, com.github, com.discord, ai.agent, ai.purpose, ai.capabilities, ai.category. ENSIP-25 support: Pass agentRegistration with registryAddress and agentId to automatically set the standardized agent-registration text record. This creates a verifiable on-chain binding between your ENS name and your agent identity in an ERC-8004 registry. ENSIP-26 support: Pass agentContext to set the agent-context text record (free-form agent description). Pass agentEndpoints with protocol URLs (mcp, a2a, oasf, web) to set agent-endpoint[protocol] discovery records. The returned transaction can be signed and submitted directly using any wallet framework (Coinbase AgentKit, ethers.js, etc.).Connector
- ISO interconnection queue snapshot: total large-load MW queued per ISO, data-center share %, and top BUILD subregions with Time-to-Power (TTP) months. Sources: ERCOT MIS, PJM, MISO, SPP, CAISO, NYISO, ISO-NE. Pass iso=ERCOT (or any of 7) to drill down to a single ISO. Use for site-selection (find BUILD-verdict markets with short queues) and competitive intel (track AI-load saturation by region).Connector
- Search available MCP tools by keyword or category before calling them. Returns matching tool names, descriptions, and optionally their inputSchemas. Call this when you are unsure which tool to use or want to explore the catalogue. Categories: data, encoding, text, llm, qa, rag, dev, security, web.Connector
- Retrieve and re-evaluate a previously created funnel against current data for the specified period. Without a `name`, lists all funnels saved for the project. With a `name`, returns the same step-by-step counts and conversion rates as funnels.create, recomputed for the requested period and any cohort filters. Cohort filters (channel, country, device_type, utm_*) let you compare conversion across segments — e.g. mobile users from the US who came via organic search. Examples: - list all funnels → no params - "how is pricing-to-signup converting this month" → name="pricing-to-signup", period="30d" - "mobile conversion for onboarding" → name="onboarding", device_type="mobile" - "paid traffic vs organic conversion" → call twice with channel="paid" then channel="organic_search" Limitations: returns 404 if no funnel exists by that name — call funnels.list with no name first to enumerate. Cohort filters apply at the session level, not retroactively per step. Funnel definitions are immutable after creation (re-create with a new name to change steps).Connector
- Return a live inventory of all active endpoints and MCP tools. Use this first to discover what the API can do before making calls. Returns tool count, endpoint list, MCP-exposed tools, and usage notes. Deterministic -- no LLM cost.Connector