Tresslers Intelligence MCP Server

io.github.classofdoom由 GitHub 账号 classofdoom 发布v1.0.0更新于 Oct 24, 2026

Sovereign intelligence dossiers, daily briefings, RAG search, knowledge graph, codon optimizer.

已验证Streamable HTTP可网页运行金融知识与记忆AI 与机器学习

概览

AI 生成的概览

远程 MCP 服务器，提供 Tresslers Group 情报档案、RAG 检索、知识图谱、预测市场 alpha 数据以及密码子优化功能。

可以做什么
列出、读取并搜索情报档案，付费内容需付款凭证，否则返回战略摘录。在情报库上执行语义向量检索，并以自然语言提问获得带引用和图谱上下文的回答。遍历多跳概念知识图谱，一跳邻接免费预览，更深推理需付费。按时间戳查询档案更新与信念变化，并查看模型校准与回测记录。获取预测市场 alpha 差距并验证 SHA-256 预承诺。使用 Logos 生物引擎优化单条或批量蛋白质与 cDNA 编码序列。
适用场景
适合需要该提供方战略研究材料、带引用的 RAG 回答、基于图谱的概念推理或预测市场校准数据的场景，也适用于编码序列的密码子优化。
运行要求
远程 streamable HTTP 端点；未声明本地运行时、软件包、环境变量或请求头。部分工具需要 x402 付款凭证才能读取高级档案和进行更深图谱推理，批量密码子优化有每日免费额度，超出部分收费。
安装前请注意
读取高级档案和更深知识图谱查询需要 x402 付款凭证，密码子优化超额部分以 USDC 计费，调用可能产生费用。内容与查询会发送给第三方服务。验证与账本工具依赖提供方自有的 SHA-256 账本和模型记录。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Tresslers Intelligence MCP Server，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.classofdoom%2Ftresslers-intelligence/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "tresslers-intelligence": {
      "type": "http",
      "url": "https://tresslersgroup.com/api/mcp"
    }
  }
}

README

该仓库没有 README。

工具

12

list_dossiers

Returns a list of all available intelligence dossier slugs.

无需输入参数。

read_dossier

Reads the pure text contents of a specific intelligence dossier. Requires x402 payment proof for premium intelligence. Without payment proof, returns a high-fidelity strategic excerpt and payment challenge.

输入参数slug必填payment_proof

search_intelligence_matrix

Executes a semantic vector similarity search across the entire ThinkForge intelligence substrate. Returns relevant snippets and strategic conviction metadata.

输入参数limitquery必填filter

query_knowledge_graph

Traverses the multi-hop conceptual knowledge graph across entities (GraphRAG). Free preview available for direct 1-hop adjacencies. Deeper reasoning (2-3 hops) requires x402 settlement.

输入参数depthentity_id必填payment_proof

get_dossier_delta

Queries intelligence updates and conviction deltas attested since a specific UTC timestamp.

输入参数since_timestamp必填

ask_intelligence_rag

Ask a natural-language question and receive structured intelligence context retrieved from Tresslers Group dossiers via RAG (Retrieval Augmented Generation). Returns relevant document chunks, source citations, conviction metadata, and graph neighborhood data. The calling LLM should synthesize the returned context into a coherent answer.

输入参数question必填max_sources

batch_optimize_codon

Batch codon optimization for teams and agents: optimize up to 50 protein or cDNA coding sequences in one call with the Logos bio-engine (CAI maximization, GC harmonization, restriction-site avoidance, consensus leaders). Free tier: 100 sequences per caller per day. Overage is $0.50 USDC per 10 sequences ($0.05/sequence) on Base, verified on-chain — pass payment_proof when the batch exceeds the free tier. Research Use Only (RUO); select-agent sequences prohibited.

输入参数hostapi_keygc_targetsequences必填payment_proof

optimize_codon

Optimizes a protein (amino acid) or cDNA coding sequence for maximal recombinant expression yield in a target host organism using the Logos biocomputing engine. Executes Codon Adaptation Index (CAI) maximization, GC-content harmonization, restriction site avoidance, and ribosomal consensus leader generation. Research Use Only (RUO). In-silico modeling only; select-agent and regulated pathogen sequence optimization is strictly prohibited under 42 CFR 73 and BWC compliance. Free and open to all AI agents.

输入参数hostsequence必填gc_target

get_model_record

Queries the public calibration and backtest ledger of Tresslers Group sovereign intelligence models. Supports filtering by settlement type ('contract_settled' for live prediction markets, 'outcome_tracked' for internal foresight models, 'unscored_archive' for pre-commitment history, or 'all'). Returns Brier calibration scores, transparent failure analysis, and verifiable primary source URLs.

输入参数statuscategorysettlement_type

search_dossiers

Searches and filters across all published Tresslers Group intelligence dossiers by keywords, strategic domain/category, tags, or conviction threshold.

输入参数taglimitquery必填categorymin_conviction

verify_commitment

Cryptographically verifies a predictive alpha pre-commitment against the immutable SHA-256 ledger using either a 64-character hash digest or canonical preimage parameters.

输入参数hashpreimagemodel_oddsdossier_slugdispatch_datemarket_questioncanonical_preimage

get_alpha_gap

Retrieves prediction market Alpha Gaps comparing Tresslers Group Bayesian model odds against Polymarket order books, along with Brier scores, calibration alpha (+3,480 bps benchmark), and cryptographic SHA-256 pre-commitments.

输入参数limitstatuscategorymin_divergencesettlement_type

版本历史

1
  1. v1.0.0最新Sep 27, 2026

评分

已满足适用检查项的 75%

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  • 图标10 分
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