Skip to main content
Glama
jodipatton

Clearinghouse

by jodipatton

Clearinghouse

Single-auth GTM deal-intelligence MCP server for 1upHealth. One connector in Claude (https://mcp.1uphealth.com/mcp), one "Continue with Google" sign-in, and every deal answer the company already has in Gong, Salesforce, and Slack — without anyone ever connecting those three systems themselves. The user's token stops at this server; downstream systems are reached with org credentials that never leave GCP.

PRD (v1.0 draft, 2026-08-05): the Claude artifact "Clearinghouse — PRD".

Status — Weeks 1–4 slice

  • OAuth 2.1 resource server — RFC 9728 metadata at /.well-known/oauth-protected-resource, the 401 + WWW-Authenticate: resource_metadata handshake Claude requires, JWT verification against the rented authorization server via JWKS.

  • find_deal — fuzzy deal name → real Salesforce opportunities.

  • deal_status — the Salesforce picture of one deal. Its coverage field points at the two tools below rather than returning a silently thin answer.

  • deal_channel_activity — a deal's Slack activity, resolved by account name against 1upHealth's real #account-<name> channel-naming convention (confirmed 2026-08 — no Salesforce or Planhat field stores this mapping, the channel name IS the mapping). Not a workspace-wide search: a bot token invited only into the account channels it needs. External senders are flagged, not hidden.

  • call_details — recent Gong calls on a deal: when, how long, who was on them, and Gong's brief only once Decision D is answered (see below).

  • recent_activity — no deal Id required: the most recently modified Salesforce opportunities in a window, each annotated with how many Slack messages and Gong calls landed on it in the same window. For "what should I catch up on."

  • coverage_check — bulk data-hygiene sweep across open deals: which ones have no Slack activity synced, no next step, or no Gong call on file. deal_status's own coverage field answers this one deal at a time; this is the many-deals-at-once version.

  • pipeline_snapshot — the read-only, Claude-facing sibling of pipeline-pulse: same fiction detection (ghost_expansion, renewal_blindspot, stale_momentum), answered inline instead of on a schedule, and it never proposes or writes anything to Planhat.

  • portfolio_account — fuzzy-name lookup of one of the 43 CMS-0057 portfolio accounts: the hand-researched dossier (architecture, financial signals, key people, risks and blockers, points of interest, ranked expansion plays) plus a live layer on top — a matching Salesforce opportunity if one resolves, that deal's recent Gong calls, and 60-day Slack activity on the account channel. The Claude-facing sibling of the dashboard's Customers tab; see "Local dashboard" below for where the research itself comes from.

  • clinical_connect_status — no input needed: status of the four Clinical Connect accounts (Fallon, Capital Health Plan, Viva Health, Zing Health), each split into what's going well (implementation momentum, active expansion plays), what isn't (the research's own "Risks & Blockers" write-up plus Salesforce health flags), meetings (live Gong calls, when a live deal resolved), and customer insights (key people, points of interest, live Slack activity, sources). The split groups this research's own fields — it is not a generated verdict. The Claude-facing sibling of the dashboard's Clinical Connect tab.

  • Roster gate — Git-backed roster.json, deny by default, denial audited.

  • Audit — every tool call logged as one JSON line (actor, tool, args, systems, bytes, latency) for the Cloud Logging → BigQuery sink.

  • Injection guards — typed enumerated inputs, one escape path for SOQL, Salesforce Ids validated by shape, LIMIT capped server-side; free-text fields (deal descriptions, Slack messages, Gong call titles and briefs) returned inside a labeled external-data envelope.

  • pipeline-pulse routine — a service-to-service job (not a Claude tool) that cross-references Salesforce opportunities against Planhat companies to flag "fictions": pipeline data that looks fine but isn't (ghost_expansion, renewal_blindspot, stale_momentum). See below.

  • /dashboard — a browser UI behind the same roster gate as /mcp, for people who want the data directly instead of asking Claude: deal lookup, a pipeline-pulse review board, the CMS-0057 portfolio and Clinical Connect views, roster/audit admin, and the L10 Implementation Review meeting tool. See below.

Not yet built (Week 5+): the Gong nightly index that replaces the window scan, per-person budgets, directory sync.

Related MCP server: Salesforce MCP Server

Direction change — eng leadership review (2026-09-04)

Four points from an engineering-leadership review of this project, all still open, all shaping the Week 5+ build before anything moves toward a real deploy:

  1. SPA → separate linkable routes — done (2026-09-04). /dashboard used to be one HTML shell (DASHBOARD_HTML, formerly src/http/dashboardPage.ts) with client-side JS toggling .panel.active across 11 tabs — no per-tab URL, nothing deep-linkable or shareable. It's now one real route per section (src/http/pages/*.ts, mounted in src/http/dashboard.ts; see "Local dashboard" below) — the Express equivalent of "one route per section," not a literal Flask rewrite. A literal blueprint/ app_registry.py structure only applies if Decision (4) below lands inside 1up-web itself, at which point this would get ported to that pattern for real.

  2. Beyond mock data: the already-connected Claude connectors, not new service credentials. The live-mode plumbing this README documents below (Salesforce JWT bearer flow, Gong API key, Slack bot token, Planhat API token, all via GCP Secret Manager) is a second, heavier path this project built toward — standing up this server's own credentialed access to each system. Leadership's direction is the lighter one: pull live data through the Salesforce/Gong/Slack/Planhat connectors already live and vetted in Claude — the same ones this session already has — rather than this server minting and managing its own. This reframes the project as demo-focused for now, not a production multi-user credential holder; see [[feedback-prefer-existing-infra]] in memory for why this shape keeps coming up. Building this out is a two-person job — Jodi + Pauline — which also bears on Decision 4.

  3. GCP → AWS. The Cloud Run/Secret Manager/GCP-project deploy plan below was POC'd assuming GCP. 1upHealth doesn't have a GCP Cloud account, and even if it did, AWS is the company's platform for both external and internal solutions — deploy planning should target AWS, not GCP. The Salesforce/Slack/Gong/Planhat "live setup" runbooks below reference Cloud Shell/Secret Manager/Cloud NAT throughout; treat those as the shape of the problem (rotate creds through a secrets manager, lock egress to a static IP), not the literal GCP steps, until an AWS equivalent is worked out.

  4. Standalone app vs. folding into 1up-web — open, needs a pros/cons conversation. If standalone, there's a central compute cluster (precedent: what was set up for Avi shortly before he left) this could run on instead of a new cloud footprint — leadership offered to help configure that path. Folding into 1up-web instead means adopting its Flask blueprint pattern for real (see point 1) and its existing dev cycle/release process rather than this project's own. Unresolved; affects points 1 and 3 directly, so avoid sinking effort into GCP-specific or deep standalone-deploy work until this lands.

Run locally

npm install
cp .env.example .env       # defaults: AUTH_MODE=dev, SF_MODE=mock, PLANHAT_MODE=mock
npm run dev
npm test

Smoke-test with MCP Inspector: npx @modelcontextprotocol/inspector, connect to http://localhost:8080/mcp (streamable HTTP). In dev mode identity comes from DEV_USER_EMAIL, which must be on roster.json. Dev mode refuses to start when NODE_ENV=production.

Launch gates → where they live

Gate

What

Where

01 Fake-"Claude" phishing

DCR off, one pinned client, one redirect URI (https://claude.ai/api/mcp/auth_callback)

Auth-vendor dashboard — two settings, do this the day the tenant exists

02 Lookalike connector URL

Host on 1uphealth.com itself; connector-adding restricted to Claude org admins

Decision A + Claude admin console

03 Gong tenant walk

call_details reaches calls only through a resolved Salesforce opportunity; GongClient exposes no list-all and no by-call-Id path, and the live window scan is page-capped

src/gong/types.ts, src/gong/live.ts

04 PHI on sales calls

GONG_CONTENT=metadata means the call brief is never requested — no redaction pass is load-bearing. Turning it on needs GONG_PHI_REVIEW_SIGNED_OFF=true or the server refuses to start

Decision D — src/config.ts, still unanswered

05 Salesforce signing key

JWT bearer as one pre-authorized integration user (src/salesforce/client.ts); key generated in Cloud Shell, never a laptop; connected app locked to that user + static egress IP

Code + Salesforce setup runbook below

06 Roster misconfiguration

Git-backed roster.json, service reads only, deny by default, denials audited

src/roster.ts, src/http/auth.ts

Salesforce live setup (Gate 05 runbook)

  1. Create integration user clearinghouse@1uphealth.com with a read-only profile scoped to Opportunity + Account.

  2. In Cloud Shell (so the key never touches a laptop): openssl req -x509 -newkey rsa:2048 -nodes -keyout sf.key -out sf.crt -days 730

  3. Connected app: upload sf.crt, enable OAuth, scopes api; Admin approved users are pre-authorized; assign only the integration user's profile; set Relax IP restrictions = Enforce, allowlist the Cloud Run static egress IP (via Serverless VPC connector + Cloud NAT).

  4. Put sf.key in Secret Manager as SF_PRIVATE_KEY; delete the local copy.

  5. Set SF_MODE=live, SF_CLIENT_ID (consumer key), SF_USERNAME.

Slack live setup

  1. Install a bot (chat:read/channels:read/groups:read scopes) to the workspace; invite it into every #account-<name> channel it needs — it can only ever read channels it's actually in, so this is the real access boundary, not a config flag.

  2. Confirmed 2026-08 against the real workspace: customer channels follow #account-<name> (e.g. #account-oscar, #account-empower-health) — this is the deal↔channel mapping; no Salesforce or Planhat field stores it. LiveSlack resolves an account name to a channel by matching against this prefix, not a workspace-wide search. Two things to know before relying on it in production:

    • Ambiguous/short account names can mismatch. Same known-limitation shape as the account-name join in fictions/match.ts — verify against a sample of real accounts before trusting it broadly.

    • Many accounts have no channel, or an empty one. Newer -implementation- channels frequently have no topic/purpose at all, and not every account has a channel yet. getMessagesForAccount and countRecentMessages both return empty/zero in that case, same as "no activity" — never an error.

  3. Put the bot token in Secret Manager as SLACK_BOT_TOKEN; set SLACK_MODE=live.

(Channel topic/purpose text was investigated as a source for CSM/Sales/ Implementation-Manager role assignment and rejected — see "CSM and Implementation Manager" below for why Planhat is used instead.)

Gong live setup (Gates 03 + 04 runbook)

  1. Gong admin → API key for this service only; store both halves in Secret Manager as GONG_ACCESS_KEY / GONG_ACCESS_KEY_SECRET.

  2. Leave GONG_CONTENT=metadata. In this mode the content selector sent to Gong omits content.brief entirely, so no spoken content reaches this process, its memory, or its logs — the gate is the request, not a filter.

  3. Before flipping to GONG_CONTENT=summaries: confirm the BAA and retention terms covering call recordings (Decision D), then set GONG_PHI_REVIEW_SIGNED_OFF=true. Live Gong refuses to boot with summaries on while that is false — deliberately two hands, not one flag.

  4. Verify the response shape first. src/gong/live.ts follows Gong's documented /v2/calls/extensive payload (metaData, parties[].affiliation, context[].objects[]) but has never run against 1upHealth's tenant. Check one real call before GONG_MODE=live.

  5. GONG_LOOKBACK_DAYS (default 180) bounds the window scan. This is the direct-read stand-in for the PRD's nightly index; when call volume makes the scan slow, the index lands behind the same GongClient interface.

Pipeline-pulse routine (Planhat)

POST /routines/pipeline-pulse is a separate, service-to-service path — not part of the /mcp connector Claude talks to, and not reachable by an end-user Claude session. It's meant to be triggered by Cloud Scheduler, not a person.

What it does: pulls Salesforce opportunities and Planhat companies, then runs three deterministic detectors over them —

  • ghost_expansion — a Planhat expansion signal with no real health behind it (see src/fictions/rules/ghostExpansion.ts)

  • renewal_blindspot — a Planhat renewal coming due (or overdue) with no open Salesforce opportunity anywhere near that date

  • stale_momentum — a late-stage opportunity that's gone quiet in both Salesforce and Planhat

High-confidence findings can propose a [DRAFT] Planhat project as a follow-up; everything else surfaces as a Slack nudge (suggestedAction). ROUTINES_DRY_RUN=true by default means the routine always computes and returns what it would create in Planhat without ever calling the write method — the preview response and the real write share the same code path (toProjectDraft in src/routines/pipelinePulse.ts), so the preview can't drift from reality.

Before setting PLANHAT_MODE=live or ROUTINES_DRY_RUN=false:

  1. src/planhat/live.ts's field mapping (RawCompany) is a best-effort guess at Planhat's schema — a real-tenant lookup was started but never finished. Verify it against one real company record first.

  2. Generate a Planhat API token scoped to this service, store it as PLANHAT_API_TOKEN (Secret Manager in Cloud Run, never a file in the repo).

  3. Generate a random secret ≥16 chars for ROUTINES_SHARED_SECRET; whoever calls the route (Cloud Scheduler) sends it as x-routines-secret. Unset = the route always 403s, independent of whether the rest of the server is configured.

  4. Only after (1) is confirmed against real data, flip ROUTINES_DRY_RUN=false — until then, run it in dry-run and read the proposedProjects it returns.

Local dashboard

/dashboard is a second, human-facing surface — same server, same bearerAuth + roster gate as /mcp, just a browser tab instead of a Claude conversation. For anyone who wants to look something up directly, or for demoing/debugging without going through Claude at all. Vanilla JS, no build step, no separate deploy.

One real, linkable URL per tab, each with its own route instead of one single-URL SPA: GET /dashboard 302s to /dashboard/overview, the one canonical default; every tab below is its own router.get in src/http/dashboard.ts, serving a complete page built from src/http/pages/*.ts (a shared layout/CSS/nav in pages/layout.ts, small reusable client-JS snippets in pages/shared.ts, one file per tab). No tab switching happens in client JS anymore — the nav is real <a href> links, and the current page is marked active server-side. fetch()-driven interactivity within a page (search-as-you-type, filters, the L10 tool's buttons) is unchanged, and so is every /api/... route underneath.

Styled to match 1up.health's own brand (Urbanist/Nunito Sans, teal-on-navy), in both light and dark. Beyond each tab's own content, every row/tile that represents a real deal or account is clickable straight through to its detail — an Overview renewal, at-risk company, or flagged fiction; a Recent activity, Coverage check, or Pipeline-pulse row; a Portfolio/Analytics-fit account — landing on that deal in Deal lookup or that account's Portfolio dossier. That's a real navigation now, not in-memory tab state: clicking through sends the browser to /dashboard/deal-lookup?dealId=<id> (or ?dealQuery=<name> when only a name is known, e.g. a Salesforce opportunity row) or /dashboard/customers?accountId=<id> (or ?accountName=<name>, which falls back to a Deal lookup search if the name has no portfolio dossier) — each target page reads that query param on load and fetches/renders the detail immediately, so the resulting URL is itself shareable (goToDeal/goToDealQuery/goToAccountByName/goToAccountId in src/http/pages/shared.ts). A couple of Overview's KPI tiles (Fictions flagged, Coverage gaps) go one step further and also auto-run that tab's query on arrival via ?autorun=1, matching their old click-then-run behavior.

Eleven tabs:

  • Overview (/dashboard/overview, also /dashboard's redirect target) — the default landing tab: a RevOps one-page rollup instead of five separate places to look. Open pipeline split into new sales / upsell / renewal (see "Segmentation" below for where that split actually comes from), fictions by severity, a "needs attention" list, coverage-check's gap count, customer health (average + an at-risk list), 60-day Slack activity per account, and upcoming Planhat renewals sorted soonest-first (overdue sorts to the top, and churned accounts are excluded entirely — see "Segmentation"). Filterable by sales rep, CSM, and implementation manager — picking one narrows every section consistently (a rep filter also narrows which accounts show up; a CSM filter also narrows which opportunities show up). Pure rollup — src/routines/overview.ts — no write path.

  • Deal lookup (/dashboard/deal-lookup) — search by name (find_deal), pick a result, see the same combined Salesforce + Gong + Slack picture deal_status / deal_channel_activity / call_details give Claude. Accepts ?dealId= (loads that opportunity directly) and ?dealQuery= (pre-fills and runs the search) for deep-linking in from elsewhere.

  • Recent activity (/dashboard/recent-activity) — recent_activity as a form: an owner filter and a day count instead of a deal Id.

  • Coverage check (/dashboard/coverage-check) — coverage_check as a form: which open deals have no Slack activity synced, no next step, or no Gong call. Accepts ?autorun=1.

  • Pipeline-pulse (/dashboard/pipeline-pulse, accepts ?autorun=1) — a "Run pipeline-pulse (dry run)" button that lists the fictions it finds and the Planhat projects it would propose. This button always forces dryRun: true, regardless of ROUTINES_DRY_RUN in config — a person clicking this particular button should never be the thing that writes to Planhat; only the Cloud Scheduler-triggered /routines/pipeline-pulse path can do that, and only once (1) in that section's runbook is done. (No separate tab for pipeline_snapshot — same underlying scan, so this tab already covers it; pipeline_snapshot exists as its own MCP tool because Claude needs a read-only-only version with no proposed-projects section at all. The L10 tab below is the one deliberate exception to "no writes from a browser click" — see its own entry.)

  • Portfolio (/dashboard/portfolio), Customers (/dashboard/customers, accepts ?accountId=/?accountName=/?seg= for deep-linking straight to a dossier or a pre-filtered list), Analytics fit (/dashboard/analytics-fit) — the "1upHealth Customer Intelligence — CMS-0057 Portfolio" research (43 accounts: architecture, financials, people, risks, ranked expansion plays, and a Gong-sourced analytics-demand study with a product pitch and gap analysis), folded into this server. Static, point-in-time research, not a live read — ported verbatim into src/portfolio/data.ts, refreshed by hand, not regenerated from the Salesforce/Planhat/Gong adapters the rest of this dashboard uses. Portfolio is the top-line rollup + top expansion plays; Customers is the searchable/filterable directory and per-account dossier; Analytics fit is the capability-tier study. A dossier cross-links to a live Salesforce opportunity by account name when one resolves (getPortfolioAccount in src/routines/portfolio.ts), same normalizeName join src/fictions/match.ts uses elsewhere — otherwise it offers a real Deal lookup search instead. Free-text research fields (Gong quotes, risk notes) render through an allowlist DOM builder (renderRichHtml), never raw innerHTML, matching this file's rule for anything ultimately grounded in external-system content.

  • Clinical Connect (/dashboard/clinical-connect) — a fixed four-account cohort (Fallon, Capital Health Plan, Viva Health, Zing Health), each laid out in the same four buckets as the clinical_connect_status MCP tool: what's going well (implementation status, active expansion plays), what isn't (the research's own "Risks & Blockers" text, plus any Salesforce health flags), meetings (live Gong calls, only when a live Salesforce opportunity resolved), and customer insights (key people, points of interest, live 60-day Slack activity, sources). The account list itself is named by Jodi, not derived from any field (clinicalConnectAccountIds in src/routines/portfolio.ts) — the going-well/not-well split is a grouping of existing research fields, never a generated verdict.

  • Admin & audit (/dashboard/admin) — the roster's members, and a live tail of the most recent audit events (in-memory, capped, lost on restart — the durable trail is still Cloud Logging → BigQuery; this is a convenience view, not a second source of truth). Audit rows expand on click to the full event JSON.

  • L10 (/dashboard/l10) — runs the bi-weekly cross-functional Implementation Review meeting (Segue → Reporting → To-Do Review → IDS → Close), ported from a standalone artifact. State (issues, to-dos, scores, facilitator) persists to L10_STATE_PATH (l10-state.json, gitignored — runtime data, not source), not roster.json's Git-backed pattern. Reporting/Rocks rows carry a "Refresh live signal" pull of Slack/Salesforce/Gong evidence plus the Portfolio tab's own research, for a tracked set of accounts (L10_TRACKED_ACCOUNTS in src/routines/l10.ts) — it only ever surfaces evidence, never a computed on-/off-track verdict; that call stays human, same as the meeting format itself. "Solve & create to-do" is this server's one write path reachable directly from a browser click — a deliberate, scoped exception to "Deliberately not building" below, confirmed with Jodi 2026-09-01: it creates a real Planhat Task, gated on (a) the issue resolving to one real account (Task requires a companyId; an issue with no single account, e.g. most engineering/process issues, can only ever be solved locally) and (b) an explicit confirm-dialog acknowledgement in the browser each time. PlanhatClient.createTask's field mapping is confirmed against Planhat's real Task schema (2026-09, via the Planhat MCP connector) but — same caveat as createProject — unverified against a real tenant end-to-end; check one real write before relying on it.

Free text from external systems (deal descriptions, Slack messages, Gong call titles) is written into the page with textContent, never innerHTML — same untrusted-data handling as everywhere else in this codebase, just for a human reader instead of an LLM.

Segmentation: sales rep, CSM, implementation manager, new sales / upsell / renewal

Fields the Overview tab filters/splits by, and where each one actually comes from (checked against real data 2026-08, not assumed):

  • Sales rep — Salesforce Opportunity.Owner. Already a real, reliable field; no change needed.

  • New sales vs. upsell vs. renewal — not Opportunity.Type, which is 72% null on real open opportunities and partly corrupted (a RecordTypeId string was found written into the Type field itself on closed-won renewal records). Renewal is StageName starting with "Renewal " (Anticipated / Not Anticipated / Contract Issued) — isRenewalStage. Splitting what's left into new sales vs. upsell needed a second real field, since Type can't do that either: Planhat's status (prospect/coming/customer/ canceled/lost) on the account. A non-renewal-stage opportunity on an already-"customer" account is expansion revenue, not a new logo; on a "prospect" (or an account with no Planhat record at all) it's real new sales. classifyPipelineCategory in src/fictions/match.ts is the split. Same status field caught a real bug during testing: renewal_blindspot and the upcoming-renewals list were flagging a churned (status: "lost") account's years-stale renewal date as an urgent gap — both now exclude canceled/lost accounts.

  • CSM and Implementation Manager — Planhat's owner and custom["Implementation Manager"] fields, resolved against PlanhatClient.listUsers(). Two alternatives were investigated and rejected: Salesforce UserRole distinguishes AE-type roles from leadership but has no CSM label at all; Slack channel topic/purpose text (see "Slack live setup" above) often does document these roles in plain language, but real examples turned up six different separator conventions, Topic and Purpose disagreeing about who the CSM is on the same channel, and most newer channels with no metadata at all — too inconsistent to parse reliably. Planhat's fields are plain User Ids that resolve cleanly with no dead ends; that's the reliable source.

Auth vendor setup (Decision C — vendor-agnostic checklist)

Whichever of WorkOS AuthKit / Auth0 / Stytch / Descope is chosen, on auth.1uphealth.com (CNAME so the vendor stays swappable):

  1. Federate to Google Workspace; restrict to the 1uphealth.com hosted domain.

  2. Disable dynamic client registration (Gate 01).

  3. Register exactly one client, redirect URI https://claude.ai/api/mcp/auth_callback, PKCE required.

  4. Access tokens: JWT, audience = https://mcp.1uphealth.com/mcp, include email. Long-lived rotating refresh tokens with reuse detection — Claude's background refresh is unreliable, and a dead refresh token must return exactly invalid_grant or users get wedged.

  5. Do not put a WAF in front of the IdP that blocks Anthropic egress (160.79.104.0/21 must reach both this server and the AS).

  6. Fill AUTH_ISSUER + AUTH_JWKS_URL, set AUTH_MODE=oauth.

Deploy (Cloud Run)

  • Stateless by construction: one MCP server instance per request, JSON responses, no sessions — safe under autoscaling.

  • Public ingress; OAuth enforced in-app (Claude cannot mint Google IAM tokens, so Cloud Run IAM protection is unusable).

  • roster.json ships in the image; the deploy pipeline is the only writer (Gate 06). CI syncs it from the repo — or from the restricted Google group if Decision E lands that way.

Open decisions (PRD §08)

Decision

Recommendation

Where it lands here

A

Domain

mcp.1uphealth.com + auth.1uphealth.com; register lookalikes

PUBLIC_URL, AUTH_ISSUER

B

One access tier or two

One tier for v1, stated at consent

roster stays one flat list

C

Auth vendor

Any of the four; keep DNS ours

AUTH_ISSUER/AUTH_JWKS_URL only

D

PHI / BAA gate

Confirm Claude-plan retention terms + GCP BAA; only decision that can change the product

GONG_CONTENT + GONG_PHI_REVIEW_SIGNED_OFF. Still open — Gong ships metadata-only until it is answered

E

Roster ownership

One restricted Google group, synced by CI

replaces hand-edits to roster.json

Deliberately not building

No workspace-wide Slack search, no stored Slack messages, no write tools in the Claude-facing connector, ever, no admin tools inside the connector (PRD §06). This is still true of /mcp — nothing Claude can call ever writes anywhere. Within /dashboard (a human, not Claude, in the browser) there are two write paths, both narrow and both opt-in each time, never silent: pipeline-pulse creating draft Planhat projects — a separate service-to-service routine reachable only via /routines/pipeline-pulse with ROUTINES_SHARED_SECRET, dry-run by default, and the dashboard's own preview button always forces dry-run regardless of config — and the L10 tab's "Solve & create to-do," a deliberate exception that does write a real Planhat Task straight from a browser click (see the L10 tab entry above for its gating). Both remain gated on unverified field mappings — see their respective sections above before relying on either against a real tenant.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

No tool schema history has been recorded yet.

Maintenance

ActivityMaintained
ResponsivenessUnresponsive

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Connectors

Related MCP Servers

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jodipatton/clearinghouse'

If you have feedback or need assistance with the MCP directory API, please join our Discord server