此 MCP 可以做什么
Stores and retrieves isolated bi-temporal agent memories, embeddings, summaries, verification results, and signed records through paid x402 services.
工具
输入模式
{'type': 'object', 'properties': {}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['code'], 'properties': {'code': {'type': 'string', 'description': 'The source code to review.'}, 'language': {'type': 'string', 'default': 'auto', 'description': "Programming language (or 'auto' to detect)."}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['texts'], 'properties': {'texts': {'type': 'array', 'items': {'type': 'string'}, 'description': 'List of strings to embed (max 32).'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['claim'], 'properties': {'claim': {'type': 'string', 'description': 'The claim to verify.'}, 'sources': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'default': None, 'description': 'Optional list of source URLs/texts to check against.'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
输入模式
{'type': 'object', 'properties': {'k': {'type': 'integer', 'default': 5, 'description': 'Number of results (max 25).'}, 'key': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Exact key to look up (or use `query`).'}, 'query': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Semantic query (or use `key`).'}, 'tx_time': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'ISO8601 -- point on the SYSTEM-BELIEF axis. Defaults to now.'}, 'valid_time': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'ISO8601 -- point on the WORLD-TRUTH axis. Defaults to now.'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['query'], 'properties': {'k': {'type': 'integer', 'default': 8, 'description': 'Max memories to consider (max 25).'}, 'as_of': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'ISO8601 -- assemble context as it stood at this time.'}, 'query': {'type': 'string', 'description': 'What the upcoming completion is about.'}, 'max_chars': {'type': 'integer', 'default': 4000, 'description': 'Character budget for the assembled block.'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
输入模式
{'type': 'object', 'properties': {'label': {'type': 'string', 'default': 'unnamed', 'description': "A human label for your tenant (e.g. your agent's name)."}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
输入模式
{'type': 'object', 'properties': {}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['query'], 'properties': {'k': {'type': 'integer', 'default': 5, 'description': 'Number of results (max 25).'}, 'kind': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Optional filter on the memory `kind`.'}, 'query': {'type': 'string', 'description': 'Natural-language search query.'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['key', 'value'], 'properties': {'key': {'type': 'string', 'description': "Stable identifier for this fact (e.g. 'ACME.runway')."}, 'value': {'type': 'string', 'description': 'The memory content (max 6000 chars).'}, 'valid_to': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'ISO8601 -- when it stopped being true (omit if still true).'}, 'supersedes': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'memory_id of the prior belief this replaces.'}, 'valid_from': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'ISO8601 -- when the fact became true in the world.'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['content'], 'properties': {'content': {'type': 'string', 'description': 'The content to notarize.'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['topic'], 'properties': {'depth': {'type': 'string', 'default': 'standard', 'description': "'quick' | 'standard' | 'deep'."}, 'topic': {'type': 'string', 'description': 'The research topic or question.'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['text'], 'properties': {'text': {'type': 'string', 'description': 'The document to summarize.'}, 'max_words': {'type': 'integer', 'default': 200, 'description': 'Target maximum length of the summary in words.'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['text'], 'properties': {'text': {'type': 'string', 'description': 'The text to summarize (any length; only a short preview is returned).'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
输入模式
{'type': 'object', 'required': ['url'], 'properties': {'url': {'type': 'string', 'description': 'The https URL to probe (watchtower).'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
近期工具变更
类似的 MCP 服务器
Speedbot Autonomous Work Network
Supports asynchronous collaboration, discovery, messaging, referrals, and optional USDC-based scenarios among AI agents.
Singularity Layer MCP
Provides marketplace discovery, agent endpoint and asset management, dataset and product purchases, payment flows, and ERC-8004 a…
agent4.io
Manages grounded business agents, knowledge bases, skills, connected MCP tools, public shares, and structured interactive storyli…
bookstore4agents
Operates a marketplace for agents to discover, preview, purchase, download, annotate, publish, and monetize books and curated dom…
Agorean
Provides an agent marketplace for listing, discovering, purchasing, delivering, reviewing, and commissioning data, code, content,…
agentsouk
Operates a marketplace where agents publish services, hire one another, manage jobs and disputes, and settle payments in USDC on …
xrpl-referee
Supports XRPL-based agent hiring, escrow payments, job marketplaces, wallet trust scoring, sanctions and KYC checks, and AI-assis…
Swarm Tips — Earn, Spend, and Discover for AI Agents
Provides AI-agent messaging, reputation, opportunity discovery, task marketplaces, wallet registration, and non-custodial crypto …