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741,519 tools. Updated 2026-11-04 05:16

"A service for creating a fake backend for development or testing" matching MCP tools:

  • Provides authoritative information about Develust Technology's software and web development services — including web application development, infrastructure design, backend architecture, and technical consulting. Use this tool for any question about Develust's expertise, service offerings, project capabilities, or how to engage with the company.
    ConnectorNo auth
  • Assess whether an ENS name's sale(s) are WASH TRADING / fake / self-dealt / manipulated volume. THE tool for any "is this wash trading?", "is the sale history of X suspicious/fake/real?", "are these trades legit?", "is someone wash-trading this name?" question — route straight here, do NOT use get_name_details or get_market_activity for that (those return sale rows but make NO wash-trading judgment; only this tool scores it). Just pass `label` — the bare ENS name (e.g. "437", "coffee") is enough; the tool pulls that name's recent sale and analyzes it on demand. `tx_hash`, `buyer`, `seller`, `price_eth` are OPTIONAL enrichment for a specific sale — never block on them or ask the user for them. Returns a wash confidence score (0-1), a label (clean/suspicious/likely_wash), the detected signals (shared-funder, mint-flip, round-trip, fresh-wallet, cluster overlap…), seller profile, and a plain-English summary. A verdict is always ABOUT A SPECIFIC SALE — `sale_analyzed` names it, and `buyer`/`seller` are the parties scored. If the response has `assessable: false` there is NO score and NO verdict: the name has no analyzable sale on record, or the lookup failed. Report that the name could not be assessed and say why. Do NOT describe it as clean, low-risk, or free of red flags, and do NOT describe unrun checks (funding, cluster, round-trip) as having come back negative.
    ConnectorNo auth
  • Submits an approval request of any supported type: UAT_PROMOTION, UAT_SIGN_OFF, PRODUCTION_PROMOTION, VISIBILITY_CHANGE, OWNERSHIP_TRANSFER, RETIREMENT, DOMAIN_CHANGE, or ROLLBACK. **An agent may submit but never decide**: SpringRoll requires a human approver, and an agent token cannot approve its own request. Confirm with the user before calling this. It creates review work for named people. Type-specific behaviour: • `PRODUCTION_PROMOTION`: this does NOT deploy. It asks. `releaseId` defaults to the application's latest release, and `targetEnvironmentType` to 'production'. Once approved, call springroll.deploy.promote. • `UAT_PROMOTION`: `targetEnvironmentType` is required, 'uat' (or 'development' where Development needs approval). An approval only unlocks the environment it names. • `UAT_SIGN_OFF`: `targetEnvironmentType` defaults to 'uat'. • `ROLLBACK`: `justification` and `targetEnvironmentType` (the environment to roll back) are required. Put the deployment to restore in `payload.targetDeploymentId`; it defaults to the last successful one. • `RETIREMENT`: `justification` is required. • Every other type takes no `targetEnvironmentType`.
    ConnectorNo auth
  • Set YOUR notification preferences for one or more categories. Categories you do not mention keep their current setting. Use resetCategories to drop your override so a category follows the organization default again — an entry in categoriesJson can only set an override, never remove one. Valid categories: api_design, testing, project, mock_server, style_guide, team, portal, monitoring, security, billing, deprecation. Use this for your own preferences; for the organization defaults use update_org_notification_defaults.
    Connector
    Destructive
    API key
  • List the layers of a Baltimore ArcGIS service (for discovery). Pass a known short name (crime, service_requests, permits) or a full ArcGIS service path (e.g. "311_Customer_Service_Requests_current/FeatureServer"). Omit `service` to list the known Baltimore services. Returns layer id + name to use with baltimore_query.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.
    37 npm
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.
    1
    MIT

Matching MCP Connectors

  • Indicative UK skip hire prices by town, council skip permit rules and skip size recommendations.

  • AI agents hire a human to observe, log or film on site. Typed results, feasibility before payment.

  • Get the project's credit balances (paid + testing) and which ledger it settles on. `billingModel` is `prepaid` (metered against the credit balance) or `invoiceable` (an Enterprise account, settled on the contract — its credit fields read empty/zero by design, not because it is out of credits). A zero balance is not on its own a reason to stop: live traffic is never refused for an empty balance, and a free-tier project is exempt from live credit billing entirely. Only the testing pool refuses when exhausted (402 `testing_credits_exhausted`). Read this before concluding from any other field that a project cannot send. On a Pro or Scale plan billed for overage, `overage` reports the billing cycle running now: `usedCredits`, `overageCredits` (beyond the allowance and prepaid credits), `amount` so far in minor units of `currency` (null when it cannot be worked out), `windowEndsAt`, `throttled` (true while this cycle's request limit is halved because spend passed five times the plan's credits) and `throttledUntil` (when the halved limit ends, or null); it is absent otherwise. On Pro or Scale, `overageBilling` is the account's own overage setting, changed with set_overage_billing.
    ConnectorNo auth
  • BATCH INSPECTION: run up to 32 AWS inspect probes in one call. ⚠️ **PREREQUISITE**: Same as awsinspect — deploy attempt required. Check convostatus for hasDeployAttempt=true before calling. Use this when you need to check more than ~3 resources. The backend fetches Oracle credentials ONCE per batch and fans out probes against a single AWS config — for a 12-resource health check this is ~5–8× faster and 12× fewer Oracle round-trips than calling awsinspect 12 times. BUDGETS: - Up to 32 sub-probes per call (subs array length). - 30s per-sub timeout; 60s total batch wall-clock. - Concurrency cap 8 — sub-probes run in parallel but never saturate AWS. - 512 KB response cap: subs past the cap keep their envelope (index/service/action/ok) but have result replaced with truncated=true. PARTIAL FAILURE IS EXPECTED. The response is an ordered results array; each entry has {index, service, action, ok, result, error}. Inspect each result — do NOT abort on the first error. A credential fetch failure leaves cred-less probes (list-actions, list-metrics) succeeding anyway. REQUIRES: session_id from convoopen response (format: sess_v2_...). Supported services: account, acm, alb, apigateway, apprunner, backup, bedrock, cloudfront, cloudwatchlogs, cognito, cost-explorer, dynamodb, ebs, ec2, ecs, eks, elasticache, kms, lambda, msk, opensearch, rds, route53, s3, sagemaker, secretsmanager, sqs, vpc, waf For a specific service's actions, use awsinspect (singular) with action="list-actions" — batch is not the place for discovery. Batch responses are always summarized (no detail/raw per-sub); use singular awsinspect when you need full metadata or raw API output for one resource. EXAMPLES: - awsinspect_batch(session_id=..., subs=[ {"service":"ec2","action":"describe-instances"}, {"service":"rds","action":"describe-db-instances"}, {"service":"vpc","action":"describe-vpcs"}, {"service":"s3","action":"list-buckets"}]) - awsinspect_batch(session_id=..., subs=[ {"service":"ec2","action":"get-metrics","filters":"{\"hours\":6}"}, {"service":"rds","action":"get-metrics","filters":"{\"hours\":6}"}])
    ConnectorNo auth
  • BATCH INSPECTION: run up to 32 GCP inspect probes in one call. ⚠️ **PREREQUISITE**: Same as gcpinspect — deploy attempt required. Check convostatus for hasDeployAttempt=true before calling. Use this when you need to check more than ~3 resources. The backend fetches Oracle credentials ONCE per batch and fans out probes against a single GCP credentials blob — a 12-resource health check is ~5–8× faster and 12× fewer Oracle round-trips than calling gcpinspect 12 times. BUDGETS: - Up to 32 sub-probes per call (subs array length). - 30s per-sub timeout; 60s total batch wall-clock. - Concurrency cap 8. - 512 KB response cap: subs past the cap keep their envelope (index/service/action/ok) but have result replaced with truncated=true. PARTIAL FAILURE IS EXPECTED. The response is an ordered results array; each entry has {index, service, action, ok, result, error}. Inspect each result — do NOT abort on the first error. A credential fetch failure leaves cred-less probes (list-actions, list-metrics) succeeding anyway. REQUIRES: session_id from convoopen response (format: sess_v2_...). Supported services: apigateway, bastion, billing, certificatemanager, cloudarmor, cloudbuild, cloudcdn, clouddeploy, clouddns, cloudfunctions, cloudkms, cloudlogging, cloudmonitoring, cloudrun, cloudsql, compute, firestore, gcs, gke, iam, identityplatform, loadbalancer, memorystore, pubsub, secretmanager, vertexai, vpc For a specific service's actions, use gcpinspect (singular) with action="list-actions" — batch is not the place for discovery. Batch responses are always summarized (no detail/raw per-sub); use singular gcpinspect when you need full metadata or raw API output for one resource. EXAMPLES: - gcpinspect_batch(session_id=..., subs=[ {"service":"compute","action":"list-instances"}, {"service":"gke","action":"list-clusters"}, {"service":"cloudsql","action":"list-instances"}]) - gcpinspect_batch(session_id=..., subs=[ {"service":"compute","action":"get-metrics","filters":"{\"hours\":6}"}, {"service":"cloudrun","action":"get-metrics","filters":"{\"hours\":6}"}])
    ConnectorNo auth
  • BATCH INSPECTION: run up to 32 AWS inspect probes in one call. ⚠️ **PREREQUISITE**: Same as awsinspect — deploy attempt required. Check convostatus for hasDeployAttempt=true before calling. Use this when you need to check more than ~3 resources. The backend fetches Oracle credentials ONCE per batch and fans out probes against a single AWS config — for a 12-resource health check this is ~5–8× faster and 12× fewer Oracle round-trips than calling awsinspect 12 times. BUDGETS: - Up to 32 sub-probes per call (subs array length). - 30s per-sub timeout; 60s total batch wall-clock. - Concurrency cap 8 — sub-probes run in parallel but never saturate AWS. - 512 KB response cap: subs past the cap keep their envelope (index/service/action/ok) but have result replaced with truncated=true. PARTIAL FAILURE IS EXPECTED. The response is an ordered results array; each entry has {index, service, action, ok, result, error}. Inspect each result — do NOT abort on the first error. A credential fetch failure leaves cred-less probes (list-actions, list-metrics) succeeding anyway. REQUIRES: session_id from convoopen response (format: sess_v2_...). Supported services: account, acm, alb, apigateway, apprunner, backup, bedrock, cloudfront, cloudwatchlogs, cognito, cost-explorer, dynamodb, ebs, ec2, ecs, eks, elasticache, kms, lambda, msk, opensearch, rds, route53, s3, sagemaker, secretsmanager, sqs, vpc, waf For a specific service's actions, use awsinspect (singular) with action="list-actions" — batch is not the place for discovery. Batch responses are always summarized (no detail/raw per-sub); use singular awsinspect when you need full metadata or raw API output for one resource. EXAMPLES: - awsinspect_batch(session_id=..., subs=[ {"service":"ec2","action":"describe-instances"}, {"service":"rds","action":"describe-db-instances"}, {"service":"vpc","action":"describe-vpcs"}, {"service":"s3","action":"list-buckets"}]) - awsinspect_batch(session_id=..., subs=[ {"service":"ec2","action":"get-metrics","filters":"{\"hours\":6}"}, {"service":"rds","action":"get-metrics","filters":"{\"hours\":6}"}])
    ConnectorNo auth
  • BATCH INSPECTION: run up to 32 GCP inspect probes in one call. ⚠️ **PREREQUISITE**: Same as gcpinspect — deploy attempt required. Check convostatus for hasDeployAttempt=true before calling. Use this when you need to check more than ~3 resources. The backend fetches Oracle credentials ONCE per batch and fans out probes against a single GCP credentials blob — a 12-resource health check is ~5–8× faster and 12× fewer Oracle round-trips than calling gcpinspect 12 times. BUDGETS: - Up to 32 sub-probes per call (subs array length). - 30s per-sub timeout; 60s total batch wall-clock. - Concurrency cap 8. - 512 KB response cap: subs past the cap keep their envelope (index/service/action/ok) but have result replaced with truncated=true. PARTIAL FAILURE IS EXPECTED. The response is an ordered results array; each entry has {index, service, action, ok, result, error}. Inspect each result — do NOT abort on the first error. A credential fetch failure leaves cred-less probes (list-actions, list-metrics) succeeding anyway. REQUIRES: session_id from convoopen response (format: sess_v2_...). Supported services: apigateway, bastion, billing, certificatemanager, cloudarmor, cloudbuild, cloudcdn, clouddeploy, clouddns, cloudfunctions, cloudkms, cloudlogging, cloudmonitoring, cloudrun, cloudsql, compute, firestore, gcs, gke, iam, identityplatform, loadbalancer, memorystore, pubsub, secretmanager, vertexai, vpc For a specific service's actions, use gcpinspect (singular) with action="list-actions" — batch is not the place for discovery. Batch responses are always summarized (no detail/raw per-sub); use singular gcpinspect when you need full metadata or raw API output for one resource. EXAMPLES: - gcpinspect_batch(session_id=..., subs=[ {"service":"compute","action":"list-instances"}, {"service":"gke","action":"list-clusters"}, {"service":"cloudsql","action":"list-instances"}]) - gcpinspect_batch(session_id=..., subs=[ {"service":"compute","action":"get-metrics","filters":"{\"hours\":6}"}, {"service":"cloudrun","action":"get-metrics","filters":"{\"hours\":6}"}])
    ConnectorNo auth
  • Create a database user for a Cloud SQL instance. * This tool returns a long-running operation. Use the `get_operation` tool to poll its status until the operation completes. * When you use the `create_user` tool, specify the type of user: `CLOUD_IAM_USER`, `CLOUD_IAM_SERVICE_ACCOUNT`, or `BUILT_IN`. * By default the newly created user is assigned the `cloudsqlsuperuser` role, unless you specify other database roles explicitly in the request. * You can use a newly created user with the `execute_sql` tool if the user is a currently logged in IAM user. The `execute_sql` tool executes the SQL statements using the privileges of the database user logged in using IAM database authentication. The `create_user` tool has the following limitations: * To create a built-in user with password, use the `password_secret_version` field to provide password using the Google Cloud Secret Manager. The value of `password_secret_version` should be the resource name of the secret version, like `projects/12345/locations/us-central1/secrets/my-password-secret/versions/1` or `projects/12345/locations/us-central1/secrets/my-password-secret/versions/latest`. The caller needs to have `secretmanager.secretVersions.access` permission on the secret version. * The `create_user` tool doesn't support creating a user for SQL Server. To create an IAM user in PostgreSQL: * The database username must be the IAM user's email address and all lowercase. For example, to create user for PostgreSQL IAM user `example-user@example.com`, you can use the following request: ``` { "name": "example-user@example.com", "type": "CLOUD_IAM_USER", "instance":"test-instance", "project": "test-project" } ``` The created database username for the IAM user is `example-user@example.com`. To create an IAM service account in PostgreSQL: * The database username must be created without the `.gserviceaccount.com` suffix even though the full email address for the account is`service-account-name@project-id.iam.gserviceaccount.com`. For example, to create an IAM service account for PostgreSQL you can use the following request format: ``` { "name": "test@test-project.iam", "type": "CLOUD_IAM_SERVICE_ACCOUNT", "instance": "test-instance", "project": "test-project" } ``` The created database username for the IAM service account is `test@test-project.iam`. To create an IAM user or IAM service account in MySQL: * When Cloud SQL for MySQL stores a username, it truncates the @ and the domain name from the user or service account's email address. For example, `example-user@example.com` becomes `example-user`. * For this reason, you can't add two IAM users or service accounts with the same username but different domain names to the same Cloud SQL instance. * For example, to create user for the MySQL IAM user `example-user@example.com`, use the following request: ``` { "name": "example-user@example.com", "type": "CLOUD_IAM_USER", "instance": "test-instance", "project": "test-project" } ``` The created database username for the IAM user is `example-user`. * For example, to create the MySQL IAM service account `service-account-name@project-id.iam.gserviceaccount.com`, use the following request: ``` { "name": "service-account-name@project-id.iam.gserviceaccount.com", "type": "CLOUD_IAM_SERVICE_ACCOUNT", "instance": "test-instance", "project": "test-project" } ``` The created database username for the IAM service account is `service-account-name`.
    ConnectorNo auth
  • Use first when a buyer is exploring LeadProof without supplying workflow data. Returns the official no-purchase sequence: buyer guide, fictional example audit, browser-only calculator, public workflow tests, and no-card trial. For a scored workflow diagnosis, use audit_lead_workflow; for replay testing, use get_leadproof_replay_trial; for paid checkout, use get_leadproof_checkout only after authorization.
    ConnectorNo auth
  • Generate synthetic / fake user profiles via the MwVideos random_users API (POST /mwvideos/api/random_users). Returns name, gender, location, email, login, dob, phone, picture, and nat. Use when the user asks for random users, fake people, sample contacts, demo personas, UI fixtures, or test profiles. Pass `results` for how many profiles (default 1, minimum 1) and `isPro` as 0 or 1 when relevant (default 0). Authenticated user_id is injected server-side — do not invent profiles; always call this tool. These are FAKE people for demos and testing, not real PII.
    ConnectorOAuth
  • Returns instructions for creating a DPF account, verifying its email, resending the verification code, or resetting a forgotten password — it never performs these itself and never asks for a password. A password typed into this chat would sit in the conversation transcript, so every action instead returns the DPF website's own form, or a curl command that reads the password from a shell variable the user sets themselves in their own terminal. Hand the command to the user to run — do not run it yourself even if you have shell access, since composing the export line would require seeing the password. action "register": requires email, firstName, lastName, and termsAccepted: true (only after the user has explicitly agreed to the DPF Terms of Service and Privacy Policy in this conversation). action "verify": confirm the 6-digit code DPF emailed after registration (requires otp). action "resend": re-send that code if it never arrived. action "forgot-password": request a password-reset code (requires email). action "reset-password": submit that code and set a new password (requires otp).
    ConnectorOAuth
  • Your FIRST step when debugging any runtime problem — a 500, a failed request, a blank page, or 'it doesn't work' from the user. Call this before theorizing from an error message alone. Reads the project's runtime logs. source 'server' (default): the dev backend's request logs from the last hour — method, URL, status, duration, and per-request server log lines (pass log_reference_id from a previous listing for one request's full logs); includes background jobs (queueTask/scheduled/failure). source 'browser': console output AND client-side network requests (each fetch as `⇄ METHOD url → status`, with the error body for failed/4xx/5xx ones — the client-side view server logs miss, e.g. CORS/timeouts/third-party calls) captured from the user's open editor session. A browser network line's `ref=<id>` is a log_reference_id you can pass back with source 'server' for that request's full server logs. Empty if no editor is open. source 'background': not log lines but the live state of background work, for the preview AND the published app — the schedules actually deployed (scheduled jobs, recurring and delayed queueTask) with their next run, the runs in progress right now, and the runs that were long or cut off at the 15-minute limit in the last 7 days. Use it to answer 'is that job still running?', 'did it time out?' and 'can anything start it again?' (limit and log_reference_id are ignored). source 'published': the PUBLISHED app's backend logs (kept 90 days): what its backend printed, request activity and runtime lines, oldest first. Default window is the last hour; pass from/to (ISO 8601) for another, filter for a literal substring (e.g. "ERROR" or a request id), limit (default 200, up to 1000), and cursor to continue a page (details: get_guides('prod-backend-logs')). source 'push': the push notifications this app sent (web and native), most recent first, with which device and whether it was delivered; from/to bound the send time, subscription limits it to one device's endpoint, cursor pages. Sources 'server' and 'browser' are NOT CloudWatch: entries live ~1 hour and cover the dev backend + live session only.
    ConnectorOAuth
  • Subscribe to down/recovered alerts for any of the public mock/testing APIs tracked by check_api_status (httpbin, JSONPlaceholder, ReqRes, FakeStoreAPI, DummyJSON …). action:"subscribe" {service, notify?}: service is an id from check_api_status (or "*" for all tracked services). With notify, that webhook gets one message when the service goes down and one when it recovers (debounced across two consecutive hourly checks — blips never fire; a confirmation message is delivered immediately so you can see the wiring works). WITHOUT notify you get a pollable subscription instead — no webhook needed. Returns {id, secret} — store both. action:"poll" {id, secret}: (webhook-less watches) returns the down/recovered transitions since your last poll — empty events = nothing changed; checks run hourly so polling more often sees nothing new. action:"info" {id, secret}: subscription state. action:"unsubscribe" {id, secret}: stop alerts. notify formats: Slack/Discord webhooks get native payloads; anything else gets HMAC-signed JSON. Limits: 5 live watches per IP — deleting one frees the slot immediately. To watch YOUR OWN URL instead, use uptime_monitor.
    ConnectorNo auth
  • Create one playlist from a natural-language idea or explicit track list. Call exactly once per listener turn: do not inspect the result and make a corrective second call or stack another playlist card in the same response. previewOnly=true returns one authoritative playlist that can be heard before saving and needs no music-service connection. After explicit approval, previewOnly=false with the approved tracks and the same concise editorial name creates one private playlist in the listener's active music service. Pass service only when the listener explicitly names Spotify or Apple Music. requiredArtists carries every artist the listener named as required. allowSecondPlaylist is true only for an explicit request for a separate additional playlist. Sign-in recovery preserves the exact request and pendingActionId for a safe retry.
    ConnectorNo auth
  • Overwrite a file's entire content, creating it if it doesn't exist — use aanet_append_file instead if you want to add one entry without replacing what's there. Fires a file_write webhook event on success (see aanet_register_webhook). Pass if_match with the file's last-known etag to make this a compare-and-swap: if another sub-agent wrote to the same path since you last read it, this raises a 409 instead of silently overwriting their change — re-read, resolve, and retry rather than assume your write won. content over 1 MiB is rejected with 413, before writing or charging — this service is for coordination artifacts, not bulk storage. Pass fence (from aanet_acquire_lock) to guard the write with a lock: a stale holder gets 409 STALE_FENCE. Returns {path, created, etag}.
    ConnectorNo auth
  • Overwrite a file's entire content, creating it if it doesn't exist — use aanet_append_file instead if you want to add one entry without replacing what's there. Fires a file_write webhook event on success (see aanet_register_webhook). Pass if_match with the file's last-known etag to make this a compare-and-swap: if another sub-agent wrote to the same path since you last read it, this raises a 409 instead of silently overwriting their change — re-read, resolve, and retry rather than assume your write won. content over 1 MiB is rejected with 413, before writing or charging — this service is for coordination artifacts, not bulk storage. Pass fence (from aanet_acquire_lock) to guard the write with a lock: a stale holder gets 409 STALE_FENCE. Returns {path, created, etag}.
    ConnectorNo auth
  • Check the selected service's current runtime readiness, input limits, pricing and retention before use. Returns service and details; ready=false means the underlying service is unavailable. Free cached runtime read; no external probe, payment, analysis or historical document retrieval. Use get_utility_example for a fixed integration sample instead.
    ConnectorNo auth