{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-zapier","slug":"zapier","name":"Zapier","type":"mcp","url":"https://zapier.com/mcp","page_url":"https://unfragile.ai/zapier","categories":["mcp-servers","automation"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-zapier__cap_0","uri":"capability://tool.use.integration.multi.provider.app.integration.via.mcp.protocol","name":"multi-provider app integration via mcp protocol","description":"Exposes 8,000+ SaaS applications through a standardized Model Context Protocol (MCP) interface, allowing AI agents to discover and invoke app actions without custom integration code. Uses Zapier's existing automation infrastructure (triggers, actions, searches) as the backend, translating MCP tool schemas into Zapier's internal workflow execution engine. Each app integration is pre-built and maintained by Zapier, eliminating the need for agents to handle OAuth, API versioning, or rate limiting directly.","intents":["Connect my AI agent to Slack, Gmail, Salesforce, and 20 other apps without writing integration code","Let my agent trigger workflows in external systems (create tickets, send emails, update spreadsheets) as part of its reasoning loop","Query data from multiple SaaS platforms in a single agent step without managing separate API clients"],"best_for":["AI agent builders who need broad SaaS connectivity without engineering overhead","Teams deploying multi-step workflows that span 3+ different business applications","Non-technical founders prototyping AI agents that interact with their existing tool stack"],"limitations":["Limited to Zapier's pre-built integrations — custom or niche apps not in Zapier's catalog cannot be accessed","Action latency depends on Zapier's backend processing; real-time bidirectional sync not guaranteed","Rate limits inherited from underlying SaaS APIs; high-volume agent operations may hit throttling","No direct access to raw API responses — abstraction layer may hide advanced/undocumented features"],"requires":["Zapier account with active subscription or MCP tier","MCP-compatible AI agent framework (Claude, custom LLM with MCP support)","Valid authentication credentials for target SaaS apps (OAuth tokens, API keys, etc.)","Network access to Zapier's MCP endpoint"],"input_types":["structured parameters (text, numbers, booleans, arrays, objects)","file references (URLs, base64-encoded content)","search queries (natural language or structured filters)"],"output_types":["structured JSON responses with action results","search result sets with metadata","workflow execution status and IDs for async operations"],"categories":["tool-use-integration","api-orchestration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-zapier__cap_1","uri":"capability://tool.use.integration.schema.driven.tool.discovery.and.invocation","name":"schema-driven tool discovery and invocation","description":"Exposes available app actions, triggers, and searches as MCP tools with JSON Schema definitions, enabling agents to discover capabilities dynamically without hardcoded tool lists. Each tool schema includes input parameters, output structure, and human-readable descriptions. The agent can inspect available tools, understand their contracts, and invoke them with type-safe parameters. Zapier's backend validates inputs against the schema and returns structured results, handling authentication and error translation.","intents":["Discover what actions are available in Salesforce, Slack, or any integrated app without reading documentation","Understand the exact parameters and output format for an action before invoking it","Build agents that dynamically adapt to available tools rather than hardcoding specific integrations"],"best_for":["Developers building flexible, self-discovering agent systems","Teams that frequently add/remove SaaS tools and need agents to adapt automatically","LLM-based agents that reason about tool availability before planning"],"limitations":["Schema complexity varies by app — some apps expose rich, detailed schemas while others are minimal","Agent must parse and understand JSON Schema format; no automatic schema simplification or summarization","Schema changes in upstream apps may not be reflected immediately in MCP interface","No schema versioning — agents cannot request specific versions of an app's action schema"],"requires":["MCP client capable of parsing JSON Schema","LLM with function-calling or tool-use capability","Understanding of JSON Schema specification"],"input_types":["JSON Schema definitions","tool discovery requests","typed parameter objects matching schema"],"output_types":["JSON Schema definitions for available tools","structured results matching declared output schema","error messages with schema validation details"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-zapier__cap_10","uri":"capability://automation.workflow.conditional.logic.and.branching.within.workflows","name":"conditional logic and branching within workflows","description":"Allows agents to define conditional branches based on action results, enabling if-then-else logic without explicit agent reasoning. Agents can specify conditions (e.g., 'if result.status == \"failed\", then execute fallback action') and Zapier evaluates conditions and routes execution accordingly. Supports complex conditions with AND/OR logic, field comparisons, and pattern matching. Branches are evaluated server-side, reducing round-trips between agent and Zapier.","intents":["Execute different actions based on whether a Salesforce query returned results","Route a workflow to different Slack channels based on the priority of an incoming ticket","Skip an action if a previous action failed or returned empty results"],"best_for":["Agents that need to implement complex multi-branch workflows without explicit reasoning","Workflows with many conditional paths (5+ branches)","Teams that want to reduce latency by evaluating conditions server-side"],"limitations":["Conditional logic is limited to simple field comparisons — no support for complex business logic","Conditions are evaluated sequentially, not in parallel — large branching trees may be slow","No support for nested conditions or loops — agents must flatten complex logic","Condition syntax is Zapier-specific — agents must learn the condition language"],"requires":["Zapier account with conditional logic support","Understanding of Zapier's condition syntax"],"input_types":["workflow definitions with conditional branches","condition expressions (field, operator, value)"],"output_types":["execution results from the selected branch","branch routing information"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-zapier__cap_11","uri":"capability://data.processing.analysis.data.formatting.and.transformation.functions","name":"data formatting and transformation functions","description":"Provides a library of built-in data transformation functions (date formatting, string manipulation, math operations, JSON parsing, etc.) that agents can apply to action results before passing them to downstream actions. Functions are evaluated server-side and support chaining (e.g., format date, then convert to ISO 8601, then extract year). Covers common use cases like timezone conversion, currency formatting, and text case conversion.","intents":["Convert a date from Salesforce format to ISO 8601 before sending to a downstream API","Extract the domain from an email address and use it to look up company information","Format a currency value with the correct number of decimal places for a payment API"],"best_for":["Workflows that need to transform data between apps with different formats","Agents that need to apply common data transformations without custom code","Teams that want to reduce complexity by handling formatting server-side"],"limitations":["Limited to Zapier's built-in functions — custom transformations require external code or custom apps","Function library is not extensible — agents cannot define new transformation functions","Complex transformations (e.g., multi-step data pipelines) are difficult to express","No support for conditional transformations (e.g., format differently based on input type)"],"requires":["Zapier account with Formatter or transformation functions enabled","Knowledge of available transformation functions"],"input_types":["raw data from action results","transformation function definitions"],"output_types":["transformed data in the target format","transformation error messages"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-zapier__cap_2","uri":"capability://data.processing.analysis.cross.app.data.mapping.and.transformation","name":"cross-app data mapping and transformation","description":"Handles field mapping and data transformation between different SaaS app schemas when chaining actions across platforms. When an agent retrieves data from one app (e.g., Salesforce contact) and needs to send it to another (e.g., Slack message), Zapier's backend automatically maps compatible fields, converts data types, and applies formatting rules. Uses Zapier's existing Formatter and field-mapping logic to bridge schema differences without agent intervention.","intents":["Create a Slack message with data pulled from a Salesforce opportunity without manually mapping fields","Update a Google Sheet row with information from a Stripe invoice, handling currency conversion and date formatting","Chain actions across 3+ apps where each has different field names and data types for the same concept"],"best_for":["Multi-step workflows that span 3+ different SaaS platforms","Teams without dedicated data engineering resources to handle ETL between apps","Agents that need to move data between apps with minimal configuration"],"limitations":["Mapping is heuristic-based (field name matching, type inference) — complex transformations may require manual configuration","No support for custom transformation logic beyond Zapier's built-in Formatter functions","Field mapping errors are not always caught until runtime; schema mismatches may cause silent data loss","Nested object mapping is limited; deeply nested structures may not map correctly across apps"],"requires":["Zapier account with Formatter or mapping capabilities enabled","Compatible field types between source and target apps","Clear field naming conventions in source data"],"input_types":["structured data from source app (JSON objects, arrays)","field mapping rules (implicit or explicit)","data type hints"],"output_types":["transformed data matching target app schema","mapping error reports","formatted strings (dates, currency, etc.)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-zapier__cap_3","uri":"capability://tool.use.integration.authenticated.action.execution.with.credential.management","name":"authenticated action execution with credential management","description":"Manages OAuth tokens, API keys, and other credentials for all 8,000+ integrated apps, allowing agents to invoke actions without handling authentication directly. When an agent calls an action, Zapier's backend retrieves the appropriate stored credential, refreshes OAuth tokens if needed, and injects them into the API request. Supports multiple credential types (OAuth 2.0, API keys, basic auth, custom headers) and handles token expiration transparently.","intents":["Let my agent send Slack messages without storing or managing Slack API tokens","Trigger actions in Salesforce, Gmail, and Stripe using stored credentials without exposing keys to the agent","Automatically refresh expired OAuth tokens so long-running agent workflows don't fail mid-execution"],"best_for":["Teams deploying agents in untrusted environments where exposing API keys is a security risk","Multi-tenant systems where different users have different app credentials","Agents that need to invoke 10+ different apps with different authentication schemes"],"limitations":["Credentials are stored in Zapier's backend — agents cannot access raw tokens or keys for custom API calls","OAuth token refresh is automatic but may add 100-500ms latency if token is expired","No support for credential rotation or time-limited tokens from agent perspective","Credential scope is tied to Zapier account — agents cannot request elevated permissions at runtime"],"requires":["Zapier account with credential storage enabled","User must authenticate each app once via Zapier's OAuth flow or API key entry","Target app must support one of Zapier's credential types (OAuth, API key, etc.)"],"input_types":["action invocation requests (no credentials included)","app/action identifiers"],"output_types":["authenticated API responses","credential validation status","token refresh status"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-zapier__cap_4","uri":"capability://automation.workflow.asynchronous.workflow.execution.with.polling.and.webhooks","name":"asynchronous workflow execution with polling and webhooks","description":"Executes long-running actions asynchronously and returns immediately with a workflow ID, allowing agents to continue reasoning while Zapier processes the action in the background. Agents can poll for results using the workflow ID or receive webhook callbacks when the action completes. Handles retries, error recovery, and timeout management transparently. Supports both polling-based and event-driven completion patterns.","intents":["Trigger a bulk data export in Salesforce and continue agent reasoning while the export runs","Execute a long-running workflow in Zapier and receive a webhook notification when it completes","Poll for the status of a previous action without blocking the agent's decision-making loop"],"best_for":["Agents executing workflows that take 10+ seconds to complete","Multi-step agent workflows where later steps depend on earlier async results","Systems that need to handle 100+ concurrent async operations without blocking"],"limitations":["Polling adds latency (typically 1-5 second poll intervals) — not suitable for real-time interactions","Webhook callbacks require agent to expose a public HTTP endpoint; adds infrastructure complexity","No built-in timeout handling — agents must implement their own timeout logic","Workflow state is not persisted across agent restarts — agents must track workflow IDs externally"],"requires":["Zapier account with async execution support","Agent framework capable of polling or receiving webhooks","Public HTTP endpoint for webhook callbacks (if using webhook pattern)","Mechanism to track and correlate workflow IDs with agent state"],"input_types":["action invocation requests with async flag","workflow IDs for polling","webhook callback URLs"],"output_types":["workflow ID (for async execution)","workflow status (pending, running, completed, failed)","final action results (when polling completes)","webhook payloads with results"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-zapier__cap_5","uri":"capability://search.retrieval.search.and.query.across.app.data","name":"search and query across app data","description":"Enables agents to search for and retrieve data from integrated apps using natural language or structured queries. Translates agent queries into app-specific search APIs (e.g., Salesforce SOQL, Gmail search syntax) and returns paginated results with metadata. Supports filtering, sorting, and pagination to help agents narrow results. Each app's search capability is pre-configured by Zapier based on the app's native search features.","intents":["Find all open opportunities in Salesforce with a specific customer name","Search Gmail for emails from a particular sender within the last 30 days","Query a Stripe account for all failed payments in the past week"],"best_for":["Agents that need to retrieve specific data from SaaS apps before taking action","Multi-step workflows where agent decisions depend on querying external data","Teams building agents that interact with large datasets (CRM, email, etc.)"],"limitations":["Search capabilities vary by app — some apps expose rich search APIs while others are limited","Query syntax is app-specific; agents must understand each app's search language or use natural language (which may not translate perfectly)","Result pagination is limited — agents cannot efficiently retrieve 10,000+ results","Search latency depends on app's backend performance; no guaranteed response time"],"requires":["Zapier integration for the target app with search capability enabled","Authenticated credentials for the app","Understanding of the app's searchable fields and filters"],"input_types":["natural language queries","structured search filters (field, operator, value)","pagination parameters (limit, offset)"],"output_types":["paginated result sets with metadata","field values matching search criteria","result count and pagination info"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-zapier__cap_6","uri":"capability://automation.workflow.error.handling.and.retry.logic.with.fallback.actions","name":"error handling and retry logic with fallback actions","description":"Automatically retries failed actions with exponential backoff and supports fallback actions if retries are exhausted. When an action fails (e.g., API timeout, rate limit, authentication error), Zapier's backend retries the action up to N times with increasing delays. If all retries fail, agents can specify fallback actions (e.g., send an alert, log to a database). Provides detailed error information to agents for debugging and decision-making.","intents":["Automatically retry a failed Slack message send without agent intervention","Handle rate limiting from Stripe API by retrying with exponential backoff","Send an alert to a fallback channel if the primary action fails after 3 retries"],"best_for":["Production agents that need resilience to transient failures","Workflows that interact with unreliable or rate-limited APIs","Teams that want to minimize manual intervention for failed actions"],"limitations":["Retry logic is fixed (exponential backoff) — agents cannot customize retry strategy","Fallback actions are static — agents cannot dynamically choose fallbacks based on error type","No circuit breaker pattern — agents may retry indefinitely if an app is down","Retry state is not exposed to agents — agents cannot inspect retry history or remaining attempts"],"requires":["Zapier account with retry/fallback support enabled","Fallback actions must be pre-configured in Zapier"],"input_types":["action invocation requests with retry/fallback configuration","error details from failed actions"],"output_types":["final action result (after retries succeed or are exhausted)","detailed error information (error type, message, retry count)","fallback action results (if retries exhausted)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-zapier__cap_7","uri":"capability://automation.workflow.rate.limiting.and.quota.management","name":"rate limiting and quota management","description":"Enforces rate limits and quota management for both Zapier's own API and the underlying SaaS apps' APIs. Tracks usage per app, per user, and per time window, and prevents agents from exceeding limits. When a limit is approached, agents receive warnings; when a limit is exceeded, actions are queued or rejected. Provides agents with current usage metrics and remaining quota information.","intents":["Understand how many Slack messages my agent can send before hitting rate limits","Queue actions when approaching Salesforce API limits instead of failing","Monitor quota usage across multiple apps to prevent unexpected failures"],"best_for":["High-volume agents that invoke 100+ actions per minute","Multi-tenant systems where quota must be shared across users","Teams that need visibility into API usage to optimize costs"],"limitations":["Rate limits are enforced at Zapier level and app level — agents see combined limits, not granular per-app limits","Quota information is not real-time — agents may see stale usage data","No support for custom rate limit policies — limits are fixed by Zapier and the app","Queued actions may be delayed by hours if quota is exhausted"],"requires":["Zapier account with rate limiting enabled","Awareness of app-specific rate limits (documented by each app)"],"input_types":["action invocation requests","quota query requests"],"output_types":["current usage metrics (requests per minute, quota remaining)","rate limit warnings","action queue status"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-zapier__cap_8","uri":"capability://tool.use.integration.multi.account.and.multi.workspace.support","name":"multi-account and multi-workspace support","description":"Allows agents to operate across multiple accounts or workspaces within the same SaaS app (e.g., multiple Slack workspaces, multiple Salesforce orgs). Agents can specify which account/workspace to target for each action, and Zapier routes the request to the correct credential and API endpoint. Supports account switching within a single agent workflow without re-authentication.","intents":["Send messages to Slack channels across 3 different company workspaces from a single agent","Query data from multiple Salesforce orgs and correlate results","Manage resources across multiple cloud provider accounts (AWS, GCP, Azure) from one agent"],"best_for":["Multi-tenant SaaS platforms that manage multiple customer accounts","Enterprise teams with multiple workspaces/orgs in the same app","Agents that need to aggregate or synchronize data across accounts"],"limitations":["Each account requires separate authentication — agents cannot use a single credential for multiple accounts","Account switching adds latency (credential lookup and routing)","No built-in account discovery — agents must know which accounts are available","Cross-account operations are not atomic — failures in one account don't roll back others"],"requires":["Multiple authenticated accounts/workspaces for the target app","Zapier support for multi-account operations in the target app","Agent logic to track and specify which account to target"],"input_types":["action invocation requests with account/workspace identifier","account list queries"],"output_types":["results scoped to the specified account","list of available accounts/workspaces","account metadata"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-zapier__cap_9","uri":"capability://safety.moderation.audit.logging.and.compliance.tracking","name":"audit logging and compliance tracking","description":"Records all agent actions (invocations, results, errors) in an audit log for compliance and debugging purposes. Logs include timestamp, action name, input parameters, output results, error details, and user/agent identity. Logs are immutable and retained for a configurable period. Agents can query audit logs to understand what actions were taken and when, supporting compliance requirements (SOC 2, HIPAA, etc.).","intents":["Audit all actions my agent took in Salesforce for compliance purposes","Debug a failed workflow by reviewing the audit log of all actions and their results","Generate a compliance report showing all data accessed by agents in the past month"],"best_for":["Regulated industries (finance, healthcare, legal) that require audit trails","Teams that need to debug complex multi-step agent workflows","Organizations that need to demonstrate compliance to auditors"],"limitations":["Audit logs are stored in Zapier's backend — agents cannot access raw logs directly","Log retention is limited (typically 30-90 days) — long-term compliance requires exporting logs","Sensitive data (API keys, passwords) may be redacted from logs for security","Log query performance degrades with large volumes (100,000+ entries)"],"requires":["Zapier account with audit logging enabled","Compliance/audit role to access logs"],"input_types":["audit log query filters (date range, action type, user, etc.)","log export requests"],"output_types":["audit log entries (JSON or CSV)","log summaries and statistics","compliance reports"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":30,"verified":false,"data_access_risk":"high","permissions":["Zapier account with active subscription or MCP tier","MCP-compatible AI agent framework (Claude, custom LLM with MCP support)","Valid authentication credentials for target SaaS apps (OAuth tokens, API keys, etc.)","Network access to Zapier's MCP endpoint","MCP client capable of parsing JSON Schema","LLM with function-calling or tool-use capability","Understanding of JSON Schema specification","Zapier account with conditional logic support","Understanding of Zapier's condition syntax","Zapier account with Formatter or transformation functions enabled"],"failure_modes":["Limited to Zapier's pre-built integrations — custom or niche apps not in Zapier's catalog cannot be accessed","Action latency depends on Zapier's backend processing; real-time bidirectional sync not guaranteed","Rate limits inherited from underlying SaaS APIs; high-volume agent operations may hit throttling","No direct access to raw API responses — abstraction layer may hide advanced/undocumented features","Schema complexity varies by app — some apps expose rich, detailed schemas while others are minimal","Agent must parse and understand JSON Schema format; no automatic schema simplification or summarization","Schema changes in upstream apps may not be reflected immediately in MCP interface","No schema versioning — agents cannot request specific versions of an app's action schema","Conditional logic is limited to simple field comparisons — no support for complex business logic","Conditions are evaluated sequentially, not in parallel — large branching trees may be slow","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.34,"ecosystem":0.35000000000000003,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.690Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=zapier","compare_url":"https://unfragile.ai/compare?artifact=zapier"}},"signature":"zLHrGw0H5a4q5LWh7KCaK57yWw+ZgVR+9R7qFm0kq/KDbAoavfEeBahLHCmGzUHjDvqtrYTTgJyIca9BH2PUCQ==","signedAt":"2026-06-22T05:19:15.187Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/zapier","artifact":"https://unfragile.ai/zapier","verify":"https://unfragile.ai/api/v1/verify?slug=zapier","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}