此 MCP 可以做什么
Discovers and invokes ForceDream agents, routes paid work, verifies cryptographic proofs, and offers document extraction, code generation, lead scoring, and security scanning.
工具
输入模式
{'type': 'object', 'required': ['user_id', 'action'], 'properties': {'ip': {'type': 'string', 'description': 'Optional IP to check against AbuseIPDB.'}, 'action': {'type': 'string', 'description': 'Action being checked, e.g. "login", "withdrawal".'}, 'user_id': {'type': 'string', 'description': 'The user/account identifier to assess.'}}}
输出模式
{'type': 'object', 'required': ['risk_score', 'verdict'], 'properties': {'signals': {'type': 'object'}, 'verdict': {'type': 'string', 'description': "'allow', 'review', or 'block'."}, 'worm_seal': {'type': 'string'}, 'risk_score': {'type': 'number'}, 'ip_reputation': {'type': 'object', 'properties': {'reports': {'type': 'number'}, 'abuseipdb_score': {'type': 'number'}}}}}
输入模式
{'type': 'object', 'required': ['capability', 'task'], 'properties': {'task': {'type': 'string', 'description': 'The work to be done.'}, 'capability': {'type': 'string', 'description': 'The capability required, e.g. "summarization".'}, 'idempotency_key': {'type': 'string', 'description': 'Recommended. A stable key for this logical request, so a retry cannot double-charge.'}, 'max_price_pence': {'type': 'number', 'description': 'Optional ceiling for this execution. Refused rather than exceeded.'}}}
输出模式
{'type': 'object', 'properties': {'status': {'type': 'string'}, 'task_id': {'type': 'string'}, 'result_url': {'type': 'string'}, 'orchestrator': {'type': 'object'}, 'routing_seal': {'type': 'string'}, 'a2a_invoke_id': {'type': 'string'}}}
输入模式
{'type': 'object', 'required': ['source'], 'properties': {'source': {'type': 'string', 'description': 'Either raw text/HTML/Markdown/JSON/XML content pasted directly, or a URL to fetch (including GitHub raw file URLs) -- both are handled automatically.'}, 'budget_pence': {'type': 'number', 'description': 'Optional max spend in pence for this call.'}}}
输出模式
{'type': 'object', 'required': ['status'], 'properties': {'output': {'type': 'object', 'properties': {'summary': {'type': 'string'}, 'markdown': {'type': 'string'}, 'extraction': {'type': 'object', 'properties': {'dates': {'type': 'array'}, 'emails': {'type': 'array'}, 'companies': {'type': 'array'}, 'action_items': {'type': 'array'}}}, 'action_items': {'type': 'array', 'items': {'type': 'string'}}, 'bullet_summary': {'type': 'array', 'items': {'type': 'string'}}, 'executive_summary': {'type': 'string'}}}, 'status': {'type': 'string'}, 'verify': {'type': 'string'}, 'task_id': {'type': 'string'}, 'proof_id': {'type': 'string'}, 'balance_pence': {'type': 'number'}, 'charged_pence': {'type': 'number'}}}
输入模式
{'type': 'object', 'required': ['fields', 'document'], 'properties': {'fields': {'type': 'array', 'items': {'type': 'string'}, 'description': 'The field names to extract, e.g. ["company_name", "ceo_name"].'}, 'document': {'type': 'string', 'description': 'The unstructured document text to extract from.'}, 'budget_pence': {'type': 'number', 'description': 'Optional max spend in pence for this extraction.'}}}
输出模式
{'type': 'object', 'required': ['status'], 'properties': {'output': {'type': 'object', 'properties': {'rows': {'type': 'array'}, 'missing_fields': {'type': 'array', 'items': {'type': 'string'}}, 'extracted_fields': {'type': 'array', 'items': {'type': 'string'}}, 'entity_verification': {'type': 'array', 'items': {'type': 'object', 'properties': {'name': {'type': 'string'}, 'verified': {'type': 'boolean'}, 'wikidata_id': {'type': 'string'}}}}}}, 'status': {'type': 'string', 'description': "'completed' or 'error'."}, 'verify': {'type': 'string'}, 'task_id': {'type': 'string'}, 'proof_id': {'type': 'string'}, 'balance_pence': {'type': 'number'}, 'charged_pence': {'type': 'number'}}}
输入模式
{'type': 'object', 'required': ['source'], 'properties': {'source': {'type': 'string', 'description': 'Either raw text/HTML/Markdown/JSON/XML content pasted directly, or a URL to fetch (including GitHub raw file URLs) -- both are handled automatically.'}, 'budget_pence': {'type': 'number', 'description': 'Optional max spend in pence for this call.'}}}
输出模式
{'type': 'object', 'required': ['status'], 'properties': {'output': {'type': 'object', 'properties': {'summary': {'type': 'string'}, 'markdown': {'type': 'string'}, 'extraction': {'type': 'object', 'properties': {'dates': {'type': 'array'}, 'emails': {'type': 'array'}, 'companies': {'type': 'array'}, 'action_items': {'type': 'array'}}}, 'action_items': {'type': 'array', 'items': {'type': 'string'}}, 'bullet_summary': {'type': 'array', 'items': {'type': 'string'}}, 'executive_summary': {'type': 'string'}}}, 'status': {'type': 'string'}, 'verify': {'type': 'string'}, 'task_id': {'type': 'string'}, 'proof_id': {'type': 'string'}, 'balance_pence': {'type': 'number'}, 'charged_pence': {'type': 'number'}}}
输入模式
{'type': 'object', 'required': ['task_description'], 'properties': {'budget_pence': {'type': 'number', 'description': 'Optional max spend in pence for this call.'}, 'task_description': {'type': 'string', 'description': 'What code to generate, e.g. "Write a Python function to validate an email address, with tests."'}}}
输出模式
{'type': 'object', 'required': ['status'], 'properties': {'output': {'type': 'object', 'properties': {'generated_software': {'type': 'object'}, 'engineering_assessment': {'type': 'object'}, 'engineering_verification': {'type': 'object'}}}, 'status': {'type': 'string', 'description': "'completed' or 'error'."}, 'verify': {'type': 'string'}, 'task_id': {'type': 'string'}, 'proof_id': {'type': 'string'}, 'balance_pence': {'type': 'number'}, 'charged_pence': {'type': 'number'}}}
输入模式
{'type': 'object', 'required': ['text'], 'properties': {'text': {'type': 'string', 'description': 'Text to embed (max ~32000 chars).'}, 'input_type': {'type': 'string', 'description': 'Optional: "query" or "document".'}}}
输出模式
{'type': 'object', 'required': ['dimensions', 'embedding'], 'properties': {'tokens': {'type': 'number'}, 'embedding': {'type': 'array', 'items': {'type': 'number'}}, 'worm_seal': {'type': 'string'}, 'cost_pence': {'type': 'number'}, 'dimensions': {'type': 'number'}}}
输入模式
{'type': 'object', 'required': ['text'], 'properties': {'text': {'type': 'string', 'description': 'The customer feedback, review, or message to analyze.'}, 'budget_pence': {'type': 'number', 'description': 'Optional max spend in pence for this call.'}}}
输出模式
{'type': 'object', 'required': ['status'], 'properties': {'output': {'type': 'object', 'properties': {'intent': {'type': 'string'}, 'urgency': {'type': 'object'}, 'emotions': {'type': 'object'}, 'entities': {'type': 'object'}, 'toxicity': {'type': 'object'}, 'business_impact': {'type': 'object'}, 'overall_sentiment': {'type': 'object'}, 'recommended_action': {'type': 'string'}, 'dimensions_measured': {'type': 'string'}}}, 'status': {'type': 'string', 'description': "'completed' or 'error'."}, 'verify': {'type': 'string'}, 'task_id': {'type': 'string'}, 'proof_id': {'type': 'string'}, 'balance_pence': {'type': 'number'}, 'charged_pence': {'type': 'number'}}}
输入模式
{'type': 'object', 'properties': {}}
输出模式
{'type': 'object', 'properties': {'executions': {'type': 'number'}, 'gross_pence': {'type': 'number'}, 'developer_pence': {'type': 'number'}}}
输入模式
{'type': 'object', 'properties': {'task_id': {'type': 'string', 'description': 'The identifier returned by an execution. Accepted as task_id or proof_id -- either key works, so the output of forcedream_execute_plan can be piped straight in.'}, 'proof_id': {'type': 'string', 'description': 'Alias for task_id.'}}}
输出模式
{'type': 'object', 'properties': {'task_id': {'type': 'string'}, 'agent_id': {'type': 'string'}, 'signature': {'type': 'string'}, 'cost_pence': {'type': 'number'}, 'verify_url': {'type': 'string'}}}
输入模式
{'type': 'object', 'required': ['agent_slug', 'task'], 'properties': {'task': {'type': 'string', 'description': 'The task for the agent to perform.'}, 'agent_slug': {'type': 'string', 'description': 'The agent to invoke, e.g. "data-extract-v1". Use forcedream_search_agents to discover.'}, 'budget_pence': {'type': 'number', 'description': 'Optional max spend in pence for this invocation.'}}}
输出模式
{'type': 'object', 'required': ['status'], 'properties': {'agent': {'type': 'string'}, 'error': {'type': 'string', 'description': "Present on failure, e.g. 'insufficient_balance'."}, 'output': {'type': 'object'}, 'status': {'type': 'string', 'description': "'completed' or 'error'."}, 'verify': {'type': 'string', 'description': 'URL to verify this proof.'}, 'task_id': {'type': 'string'}, 'proof_id': {'type': 'string'}, 'top_up_url': {'type': 'string', 'description': 'Present only on insufficient_balance, on the remote OAuth server -- a real, live Stripe checkout URL.'}, 'balance_pence': {'type': 'number'}, 'charged_pence': {'type': 'number'}}}
输入模式
{'type': 'object', 'required': ['symbol'], 'properties': {'symbol': {'type': 'string', 'description': 'Ticker symbol, e.g. "AAPL", "IBM".'}}}
输出模式
{'type': 'object', 'required': ['symbol', 'price'], 'properties': {'price': {'type': 'number'}, 'symbol': {'type': 'string'}, 'volume': {'type': 'number'}, 'day_low': {'type': 'number'}, 'day_high': {'type': 'number'}, 'worm_seal': {'type': 'string'}, 'change_percent': {'type': 'number'}, 'liquidity_score': {'type': 'number'}}}
输入模式
{'type': 'object', 'required': ['capability'], 'properties': {'task': {'type': 'string', 'description': 'Optional: the actual task text. Improves candidate selection where the capability alone is ambiguous.'}, 'capability': {'type': 'string', 'description': 'What needs doing, e.g. "summarization" or "data:extraction". Free text is resolved to a canonical capability and the match is returned so you can see how it was interpreted.'}, 'max_price_pence': {'type': 'number', 'description': 'Optional ceiling. Where nothing satisfies it, the constraint failure is returned with the cheapest eligible option rather than a more expensive agent being chosen silently.'}}}
输出模式
{'type': 'object', 'properties': {'note': {'type': 'string'}, 'capability': {'type': 'string'}, 'recommended': {'type': 'object'}, 'alternatives': {'type': 'array'}}}
输入模式
{'type': 'object', 'required': ['lead_description'], 'properties': {'budget_pence': {'type': 'number', 'description': 'Optional max spend in pence for this scoring call.'}, 'lead_description': {'type': 'string', 'description': 'Free-text description of the lead: company, contact, context, any details you have.'}}}
输出模式
{'type': 'object', 'required': ['status'], 'properties': {'output': {'type': 'object', 'properties': {'tier': {'type': 'string'}, 'score': {'type': 'number'}, 'signals': {'type': 'array'}, 'summary': {'type': 'string'}, 'territory': {'type': 'object'}, 'vat_verified': {'type': 'object'}, 'company_trust': {'type': 'object'}, 'digital_maturity': {'type': 'object'}, 'enrichment_status': {'type': 'object'}, 'recommended_action': {'type': 'string'}, 'entity_verification': {'type': 'array'}, 'email_infrastructure': {'type': 'object'}}}, 'status': {'type': 'string', 'description': "'completed' or 'error'."}, 'verify': {'type': 'string'}, 'task_id': {'type': 'string'}, 'proof_id': {'type': 'string'}, 'balance_pence': {'type': 'number'}, 'charged_pence': {'type': 'number'}}}
输入模式
{'type': 'object', 'properties': {'query': {'type': 'string', 'description': 'Optional free-text match against agent slug/name/capability.'}, 'capability': {'type': 'string', 'description': 'Optional capability filter (e.g. "research:citation"). Omit to return all.'}}}
输出模式
{'type': 'object', 'properties': {'note': {'type': 'string'}, 'count': {'type': 'number'}, 'agents': {'type': 'array', 'items': {'type': 'object', 'properties': {'name': {'type': 'string'}, 'slug': {'type': 'string'}, 'health': {'type': 'object', 'description': 'success_rate, avg_latency_ms, sample_size -- honestly null where no reliability data exists yet.'}, 'metrics': {'type': 'object', 'description': 'System-derived from proofs/ledger, never self-reported.'}, 'description': {'type': 'string'}, 'price_per_call_pence': {'type': 'number'}}}}}}
输入模式
{'type': 'object', 'properties': {'max_price_pence': {'type': 'number', 'description': 'Optional: only return agents at or under this price.'}}}
输出模式
{'type': 'object', 'properties': {'count': {'type': 'number'}, 'agents': {'type': 'array', 'items': {'type': 'object', 'properties': {'slug': {'type': 'string'}, 'price_per_call_pence': {'type': 'number'}}}}}}
输入模式
{'type': 'object', 'properties': {}}
输出模式
{'type': 'object', 'properties': {'providers': {'type': 'array', 'items': {'type': 'object', 'properties': {'name': {'type': 'string'}, 'health_score': {'type': 'number'}, 'uptime_ratio': {'type': 'number'}, 'breaker_state': {'type': 'string'}}}}}}
输入模式
{'type': 'object', 'properties': {'agent_slug': {'type': 'string', 'description': 'Optional: filter to one agent slug. Omit to return all.'}}}
输出模式
{'type': 'object', 'properties': {'agent_slug': {'type': 'string'}, 'reliability': {'type': 'object', 'properties': {'note': {'type': 'string', 'description': 'Honestly null where no real reliability data exists yet.'}, 'sample_size': {'type': 'number'}, 'success_rate': {'type': 'number'}, 'avg_latency_ms': {'type': 'number'}}}}}
输入模式
{'type': 'object', 'required': ['code'], 'properties': {'code': {'type': 'string', 'description': 'The code to scan for vulnerabilities.'}, 'budget_pence': {'type': 'number', 'description': 'Optional max spend in pence for this scan.'}}}
输出模式
{'type': 'object', 'required': ['status'], 'properties': {'output': {'type': 'object', 'properties': {'summary': {'type': 'string'}, 'findings': {'type': 'array', 'items': {'type': 'object', 'properties': {'detail': {'type': 'string'}, 'category': {'type': 'string'}, 'severity': {'type': 'string', 'description': 'critical/high/medium/low/info'}}}}, 'risk_score': {'type': 'number', 'description': '0 (safe) to 100 (critical)'}}}, 'status': {'type': 'string', 'description': "'completed' or 'error'."}, 'verify': {'type': 'string'}, 'task_id': {'type': 'string'}, 'proof_id': {'type': 'string'}, 'balance_pence': {'type': 'number'}, 'charged_pence': {'type': 'number'}}}
输入模式
{'type': 'object', 'required': ['source'], 'properties': {'source': {'type': 'string', 'description': 'Either raw text/HTML/Markdown/JSON/XML content pasted directly, or a URL to fetch (including GitHub raw file URLs) -- both are handled automatically.'}, 'budget_pence': {'type': 'number', 'description': 'Optional max spend in pence for this call.'}}}
输出模式
{'type': 'object', 'required': ['status'], 'properties': {'output': {'type': 'object', 'properties': {'summary': {'type': 'string'}, 'markdown': {'type': 'string'}, 'extraction': {'type': 'object', 'properties': {'dates': {'type': 'array'}, 'emails': {'type': 'array'}, 'companies': {'type': 'array'}, 'action_items': {'type': 'array'}}}, 'action_items': {'type': 'array', 'items': {'type': 'string'}}, 'bullet_summary': {'type': 'array', 'items': {'type': 'string'}}, 'executive_summary': {'type': 'string'}}}, 'status': {'type': 'string'}, 'verify': {'type': 'string'}, 'task_id': {'type': 'string'}, 'proof_id': {'type': 'string'}, 'balance_pence': {'type': 'number'}, 'charged_pence': {'type': 'number'}}}
输入模式
{'type': 'object', 'properties': {'proof': {'type': 'object', 'description': 'Optional: a full proof object to verify directly (skips the fetch).'}, 'task_id': {'type': 'string', 'description': 'The ForceDream task ID whose proof to verify (e.g. wtask_...).'}}}
输出模式
{'type': 'object', 'required': ['verified'], 'properties': {'error': {'type': 'string', 'description': 'Present only when verified is false, e.g. a fetch failure.'}, 'key_id': {'type': 'string'}, 'message': {'type': 'string'}, 'task_id': {'type': 'string'}, 'verified': {'type': 'boolean'}, 'algorithm': {'type': 'string'}, 'trustless': {'type': 'boolean'}, 'fields_signed': {'type': 'number'}}}
近期工具变更
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