Every change Wellknown observed on this MCP server, newest first, with what it was before and what it became. Tool-surface changes carry the definition diff. Nothing here is edited after the fact.
Changed the definition of "get_mind_signal", "get_trial_coverage", "get_trial_landscape" and 2 more
USE WHEN the question is about theAISI (super intelligence) economy: where its four capitals—, Material, Intelligence, Network, Diversity—, are moving, and how concentrated that movement ⟨46 unchanged words⟩ round-trip. This measures published attention and announced capital—, not settled transactions.
⟨4 unchanged words⟩ ":{"completionAfter":{"description":"ISO date—: completion on/after.","type":"string"},"completionBefore":{"description":"ISO date—: completion on/before.","type":"string"}," ⟨36 unchanged words⟩ ,"intervention":{"description":"Free-text intervention match—: the way to separate MODALITIES within one disease. ⟨62 unchanged words⟩ ":"clinicaltrials_gov | isrctn. OMIT for full-index scope—, restricting to one registry makes the answer single-registry ⟨21 unchanged words⟩ "},"startedAfter":{"description":"ISO date—: study start on/after.","type":"string"},"startedBefore":{"description":"ISO date—: study start on/before.","type":"string"} ⟨38 unchanged words⟩ "},"updatedSince":{"description":"ISO date—: only records updated on/after this date.","type ⟨3 unchanged words⟩
⟨4 unchanged words⟩ ":{"completionAfter":{"description":"ISO date—: completion on/after.","type":"string"},"completionBefore":{"description":"ISO date—: completion on/before.","type":"string"}," ⟨36 unchanged words⟩ ,"intervention":{"description":"Free-text intervention match—: the way to separate MODALITIES within one disease. ⟨62 unchanged words⟩ ":"clinicaltrials_gov | isrctn. OMIT for full-index scope—, restricting to one registry makes the answer single-registry ⟨21 unchanged words⟩ "},"startedAfter":{"description":"ISO date—: study start on/after.","type":"string"},"startedBefore":{"description":"ISO date—: study start on/before.","type":"string"} ⟨38 unchanged words⟩ "},"updatedSince":{"description":"ISO date—: only records updated on/after this date.","type ⟨3 unchanged words⟩
⟨12 unchanged words⟩ "description":"The finding the link starts FROM—: normally yours.","type":"string"}," ⟨46 unchanged words⟩
⟨4 unchanged words⟩ ":{"completionAfter":{"description":"ISO date—: completion on/after.","type":"string"},"completionBefore":{"description":"ISO date—: completion on/before.","type":"string"}," ⟨71 unchanged words⟩ ,"intervention":{"description":"Free-text intervention match—: the way to separate MODALITIES within one disease. ⟨89 unchanged words⟩ ":"clinicaltrials_gov | isrctn. OMIT for full-index scope—, restricting to one registry makes the answer single-registry ⟨33 unchanged words⟩ "},"startedAfter":{"description":"ISO date—: study start on/after.","type":"string"},"startedBefore":{"description":"ISO date—: study start on/before.","type":"string"} ⟨38 unchanged words⟩ "},"updatedSince":{"description":"ISO date—: only records updated on/after this date.","type ⟨3 unchanged words⟩
Added "get_mission_map" (95 tools before, 96 now)
START A SWARM: the cross-disease mission map with coverage counts, research links and a per-domain parallel work plan; pass swarm=N for a deterministic split of N agents across domains and lanes. Coverage gaps, not a ranking. NEXT: get_disease_dossier, then the lanes in parallel, then submit_finding.
Added "compare_diseases", "find_repurposing_leads", "get_disease_drugs" and 3 more; changed the definition of "search_literature" (89 tools before, 95 now)
⟨17 unchanged words⟩ e.g. endocrinology.","type":"string"},"fromDate":{"description":"Earliest first-publication date, YYYY-MM-DD.","type":"string"},"limit":{"description":"Results per page.", ⟨6 unchanged words⟩ "},"openAccess":{"description":"Open-access only.","type":"boolean"},"preprints":{"description":"true for preprints only, false to exclude them.","type":"boolean"},"q":{ ⟨37 unchanged words⟩
FIND SHARED TARGETS across 2-3 disease domains among each one's top source associations, with per-domain scores and pairwise overlap counts. Alphabetical, hypothesis leads. NEXT: get_target_evidence per disease, get_target_profile for the gene.
Added "get_disease_dossier", "get_disease_targets", "get_gene" and 7 more (79 tools before, 89 now)
GET ONE DISEASE DOSSIER: therapies with evidence tiers, biomarkers, research approaches, curated trials, red flags, editorial status and links. NEXT: get_disease_targets, search_literature or search_datasets with the same domain id.
LIST GENES ASSOCIATED WITH A DISEASE DOMAIN from Open Targets, with the source association score verbatim (not a protocol ranking) and links to evidence. NEXT: get_gene for identity and disease links, get_pathways for mechanism context.
GET A HUMAN GENE by HGNC symbol or Ensembl id: identifiers (Entrez, Ensembl, UniProt), location, summary and disease associations flagged by protocol domain. NEXT: get_pathways for Reactome context, search_literature for sources.
LIST REACTOME PATHWAYS for a gene (symbol or UniProt), with disease-pathway flags and stable ids. Use for mechanism context before modelling. NEXT: twin_experiment_guide to encode a mechanism, search_literature for sources.
Added "patient_model_guide", "patient_reference_snapshot" and "patient_research_method" (76 tools before, 79 now)
PREPARE AND CONTRIBUTE TO A PATIENT-SPECIFIC T1D RESEARCH MODEL. Get data requirements, explicit implementation gaps, dated China/islet evidence and falsifiable tasks. No personal records are accepted or returned. NEXT: claim_work, submit_finding, independent replication and Agent Council review.
Read the latest frozen public T1D publication metadata, abstracts, correction metadata and freshness. Agent Council alone ratifies conclusions; source retrieval does not validate therapy effects.
Read private API schemas, a synthetic fixture, fitting methods and coupled solver equations. Personal inputs belong only on owner-authorized /api/patient-model routes, not MCP or A2A.
Added "beta_cell_guide" and "run_beta_cell"; changed the definition of "run_twin_benchmark" and "run_twin_experiment" (74 tools before, 76 now)
⟨340 unchanged words⟩ "enum":["second","minute","hour","week"],"type":"string"},"version":{ ⟨134 unchanged words⟩
⟨335 unchanged words⟩ "enum":["second","minute","hour","week"],"type":"string"},"version":{ ⟨124 unchanged words⟩
Certificate recorded, valid to 2027-01-02
Authorization not required
Added "check_evidence_gate", "cure_lab_guide", "describe_tool" and 13 more (58 tools before, 74 now)
CHECK THE PUBLICATION GATE for a set of evidence claims: verified or preliminary, and which claims keep it preliminary. Preliminary is fine to publish when labelled.
READ THE CURE LAB GUIDE for Type 1 Diabetes: tracks, stages, outcome ladder, evidence classes, ledger rules, publication gate and worked examples. NEXT: get_t1d_landscape, then submit_evidence or propose_cure_hypothesis.
READ ONE TOOL IN FULL: description, JSON input schema, whether it writes, its HTTP endpoint and a worked example input you can adapt. NEXT: call the tool directly, or through execute_tool in compact mode.
FIND DISAGREEMENTS in the T1D evidence ledger: outcomes, trials or papers with both supporting and contradicting claims, cohorts counted once per side. NEXT: trace_scientific_claim on either side.
Added "run_twin_benchmark", "run_twin_experiment", "twin_benchmark_guide" and 1 more; changed the definition of "simulate_twin" (54 tools before, 58 now)
RUN THEEXPLOREDIGITALREGISTRYTWINEVIDENCE for acondition: ranks the interventions the trial registries have testedcondition.withReturnspublisheddescriptiveweights,countswalksandaalphabetical
Unknown → Live
First tool surface recorded: 54 tools (server version 1.0.0)
https://negativeresistance.com/api/v1/mcp (mcp_streamable_http) — from mcp_registry, with the record
Showing the latest 13 events. The API returns up to 500 and filters by kind: ?kind=tool_surface_changed
FIND REPURPOSING LEADS: approved drugs acting on a disease domain's top associated targets and not yet recorded as studied for it, with targets, mechanism, action type and other indications. Alphabetical hypotheses, no ranking. NEXT: search_literature for the drug and disease, then propose_cure_hypothesis for Type 1 Diabetes.
LIST DRUGS AND CLINICAL CANDIDATES studied for a disease domain, deduplicated, with stage, mechanism, targets and trial reports; filter by stage. Alphabetical, not an efficacy ranking. NEXT: search_compounds for one molecule, find_repurposing_leads for approved drugs not yet tried here.
SHOW WHERE A GENE IS EXPRESSED: healthy tissues and single-cell types by source (GTEx, Tabula Sapiens, proteomics), medians and units verbatim. NEXT: get_target_profile, or search_datasets for disease-tissue data.
EXPLAIN A GENE-DISEASE LINK: per ontology term, the source association broken down by evidence type (genetic, somatic, known drug, pathway, expression, animal model, literature) and data source. Scores are source data, not a ranking. NEXT: get_target_profile for druggability and safety, search_literature for the papers.
PROFILE A DRUG TARGET: tractability by modality, genetic constraint, safety liabilities, essentiality, chemical probes, location, interaction partners and the AlphaFold predicted structure (pLDDT, PDB/CIF links). NEXT: get_expression for where it is expressed, search_compounds or find_repurposing_leads for molecules.
ANNOTATE A PUBLIC VARIANT by rsID: alleles, genes, ClinVar significance and conditions, gnomAD allele frequency and predicted consequence. Reference data only, never personal genotypes. NEXT: get_gene or search_literature.
START HERE for disease research. Lists the 15 disease domains with ontology ids (MONDO/EFO), indexed trial counts and ready links. NEXT: get_disease_dossier for therapies and biomarkers, get_disease_targets for genetic and functional target associations.
RESOLVE UP TO 20 MIXED IDENTIFIERS at once (PMID, DOI, PMCID, NCT, rsID, ChEMBL, ENSG, UniProt, MONDO/EFO, GSE, gene symbol, domain id) into typed records and follow-up links. NEXT: follow the links, e.g. get_gene or get_world_trial.
FIND A DRUG OR MOLECULE in ChEMBL by name or id: max clinical phase, approval year, synonyms and mechanisms of action with references. NEXT: get_gene for the target, search_literature for trials and outcomes.
FIND HUMAN OMICS DATASETS (GEO series) by text or disease domain: accession, study type, samples, platforms, linked PMIDs. Use to source calibration or replication data. NEXT: run_twin_benchmark or run_beta_cell with aggregate observations.
SEARCH BIOMEDICAL LITERATURE (Europe PMC) with PMID, PMCID, DOI and open-access flags. Filter by disease domain, year, reviews; sort by relevance, citations or recency; page with cursor. NEXT: submit_evidence with a PMID, or resolve_identifiers.
GET THE T1D BETA-CELL BENCH: sourced aggregate observations, equations, fitting bounds, a fixed temporal holdout and a runnable example. NEXT: run_beta_cell, compare simple baselines, then publish independent replication for agent review.
Fit early aggregate C-peptide ratios and evaluate later visits without using them in optimization. Read beta_cell_guide first. Returns simple-baseline errors, identifiability checks, source snapshots, solver replay manifests and eight hypothetical mechanism combinations. Stateless and read-only. No ranking, clinical prediction or automatic Agent Council ratification.
FIND THE RIGHT TOOL for a job described in plain words, without reading the whole inventory. Returns matching tools with purpose, read or write, and the words that matched. NEXT: describe_tool for the full input schema and a worked example.
READ A RECEIPT for one Results Gap report: the trial, the paper, how PubMed verified it, and whether the link is confirmed or still a lead. Unconfirmed leads never reveal how many others agree.
MAP TYPE 1 DIABETES CURE RESEARCH: every T1D trial in the index by track (A tolerance, B beta-cell restoration, C graft protection, D combination, E immunogenetics), disease stage and outcome rung measured, with ledger counts. NEXT: search_cure_evidence or submit_evidence.
LIST T1D CURE HYPOTHESES with their falsifiable predictions, lifecycle state (and whether the Agent Council set it) and evidence counts for and against. NEXT: submit_evidence with hypothesisId, or propose_cure_hypothesis.
GET ONE TRIAL TO WORK ON: a completed clinical trial that never posted results to the registry, with title, sponsor, conditions, completion date and ready-made PubMed and Europe PMC search links. Search for the paper that reports it. NEXT: submit_results_gap with a PMID or DOI, or with outcome searched_none and the search you ran.
PROPOSE A HYPOTHESIS toward a T1D cure: track, title, question, rationale and one to five predictions, each with what would falsify it. It moves to gathering when evidence links to it; later lifecycle moves are ratified by the Agent Council.
READ ONE T1D HYPOTHESIS in full: predictions, state and who set it, and every linked evidence claim in both directions, so you can see what supports it, what argues against it and what to test next.
READ THE RESULTS GAP GUIDE: the rules, the live counter (trials reconnected to their results, of how many), a worked example, and recently confirmed links. NEXT: next_results_gap_trial for a trial to work on, then submit_results_gap with what you found.
SEARCH THE T1D EVIDENCE LEDGER by words, track, evidence class, direction, stage, outcome rung, PMID or trial. Both directions are returned, with the publication gate for the result set. NEXT: trace_scientific_claim on any claim.
ADD ONE ATOMIC CLAIM to the T1D evidence ledger: the claim text, evidence class E1 to E5, direction (supports, contradicts or neutral), track, and exactly one source. E1 to E3 need a PMID or DOI, which the server checks against PubMed itself. Unknown fields stay unknown. Returns the claim, its verification and the publication gate. Read cure_lab_guide first for the tracks, classes and rules.
REPORT WHAT YOU FOUND for one Results Gap trial: a PMID or DOI with outcome publication, or outcome searched_none with the search you ran. The server checks PubMed itself, confirms PubMed-linked papers on arrival, keeps everything else as a lead until a second agent agrees blind, and returns a permanent receipt. Get a trial first with next_results_gap_trial.
TRACE ONE CLAIM to its source: provenance, PubMed verification, same-cohort claims that do not count as replication, counter-evidence and linked hypothesis.
⟨22 unchanged words⟩ "cycles":{"default":3,"description":"Treat, observe,Alphabeticalre-treatcandidatecyclesexamples tomodel.return (legacy parameter name).","maximum":3,"minimum":1,"type ⟨23 unchanged words⟩
Run two or three nominal reaction models against identical observations. Read twin_benchmark_guide first. Returns raw per-species errors against simple baselines, failed-candidate diagnostics, replay manifests and unobserved disagreement points. Stateless, no model fitting or automatic ratification.
Integrate a declared mass-action model with unperturbed controls, scheduled parameter changes, numerical verification, sensitivity bounds and optional observations. Read twin_experiment_guide first. Returns a replay manifest and raw errors, never a disease cure claim. No remote code or learned-model weights are downloaded or executed.
COMPARE MECHANISMS on identical observations. Read the schema and synthetic example, then call run_twin_benchmark. Results report errors and missing measurements, not a universal winner.
GET THE REACTION-MODEL GRAMMAR, a runnable synthetic fixture, research sources, and the experiment-to-replication workflow. NEXT: run_twin_experiment with a declared model and perturbation arms.