AWS MCP Server vs Sugra API
A side-by-side look at the AWS MCP Server and Sugra API MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose AWS MCP Server for cloud platforms work as a local process; choose Sugra API for cloud platforms as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose AWS MCP Server when
- You need dedicated capabilities in the Cloud Platforms domain.
- You prefer a local stdio subprocess transport.
- You want tools like
aws_whoami, aws_login_start, aws_login_complete.
Choose Sugra API when
- You need dedicated capabilities in the Cloud Platforms domain.
- You prefer a local stdio subprocess transport.
- You want tools like
sugra_entity_screen, sugra_entity_lookup, search_endpoints.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Cloud Platforms | Cloud Platforms |
| Quality signal | 64/100 · Good | 59/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 5 | 3 |
| Directory activity | 1 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 28 | 8 |
| Full listing | View AWS MCP Server | View Sugra API |
Tools & capabilities
AWS MCP Server tools 28
aws_whoamiShow the current AWS identity (account, role ARN, user ID) plus SSO token status and time remaining. Use this first to verify auth before running other AWS operations. Returns a structured fix-it message if SSO is expired.aws_login_startStart an AWS SSO login via the device-code flow (no browser spawned from this process). Returns a verification URL and short code -- surface these to the user so they can open the URL in their own browser and paste the code. After they auth, call aws_login_complete with the returned sessionId to confirm completion.aws_login_completeBlock until the SSO login started by aws_login_start finishes (user completed auth in browser, or subprocess exited with error). Returns the new identity on success, or a structured error.aws_refresh_if_expiring_soonProactive SSO token check. If the cached token has fewer than `thresholdMinutes` left (default 10), this kicks off aws_login_start and returns the verification URL + code in one round-trip. If plenty of time remains, returns `status: 'ok'` with the minutes left. Use at the start of a multi-step AWS workflow to avoid mid-session expiry. `status: 'ok'` is a point-in-time reading of the cache, not a lease: nothing re-checks afterwards, so a token that lapses mid-workflow still surfaces as an sso_expired error from the next aws_call / aws_whoami. Raise `thresholdMinutes` to cover the expected length of the workflow rather than treating 'ok' as a guarantee.aws_session_setSet the default AWS profile and/or region for the rest of this MCP session. Subsequent calls to aws_whoami, aws_login_*, and other AWS tools will use these values unless they override explicitly. Use when the user says 'switch to prod', 'use us-west-2', 'look at the staging account', etc. Both params are optional; pass whichever changed. Returns the resulting session state.aws_session_getShow the current session's default AWS profile and region, and where each value came from ('session' = set by aws_session_set, 'env' = AWS_PROFILE/AWS_REGION env var, 'default' = built-in fallback). Useful for confirming state before running operations or debugging why a call hit the wrong account.aws_session_clearRemove session-set profile and/or region overrides so subsequent calls fall back to env vars / defaults. No args clears both. Pass `profile: true` or `region: true` to clear just one. Use when the user says 'go back to the default profile,' 'unset the region,' or 'reset session.'aws_callRun an arbitrary AWS API operation via the aws CLI. Use kebab-case service and operation names as in `aws help` (service='s3api', operation='list-buckets'). Pass params as a JSON object using the AWS API's PascalCase keys (e.g. {Bucket: 'foo'}); they go through --cli-input-json. Session profile/region (from aws_session_set) are used by default; override per-call when needed. Hand-written CLI commands (aws s3 cp/ls/sync, aws logs tail) and operations that stream their response to an output file (s3api get-object, bedrock-runtime invoke-model, bedrock-agentcore invoke-agent-runtime, lambda invoke) do not accept --cli-input-json and cannot run here -- use aws_lambda_invoke or aws_logs_tail where they exist, bedrock-runtime converse for text inference, otherwise your shell. Waiters work: operation 'wait instance-running'. Blob-typed members of params (KMS Plaintext, Kinesis Data, DynamoDB B) take base64 -- the server runs the CLI with --cli-binary-format base64 whatever your AWS config says. Returns parsed JSON output by default, plus the literal command that was run.aws_list_profilesList AWS profiles configured in ~/.aws/config. Returns profile name, region, and SSO metadata (start URL, region, session name) where set, plus an `isSso` flag. Use when the user hasn't named a profile, when they ask to switch profiles, or when an SSO-expired error mentions a profile you haven't seen.aws_paginateFetch one page of a paginated AWS list/describe operation. Identical to aws_call plus `maxItems` (page size) and `startingToken` (resume cursor). When `query` is supplied it is wrapped server-side as {NextToken, items: <query>} so pagination survives a projection that would otherwise drop NextToken; the handler unwraps `items` before returning. Returns the parsed response, a `nextToken` (null when the list is exhausted), and `hasMore`. Call again with the returned nextToken as startingToken until hasMore is false. Use this instead of aws_call for operations that might exceed the 5 MB stdout cap: list-objects-v2, describe-instances, describe-log-streams, list-roles, etc.aws_assume_roleCall STS AssumeRole and stash the returned temporary credentials as a named profile in the shared credentials file ($AWS_SHARED_CREDENTIALS_FILE when set, otherwise ~/.aws/credentials; the resolved path is returned as credentialsPath). Subsequent calls to aws_call / aws_whoami / aws_paginate can use profile='mcp-<sessionName>' (or your overridden targetProfile name). The raw secret key / session token are NOT returned to the caller — only the profile name, expiration, and assumed identity. Use for cross-account access: a source profile (your SSO identity) assumes a role in another account. Default timeout is 120s (raise via timeoutMs for slow SAML / credential_process setups on cold start).aws_logs_tailFetch the newest CloudWatch Logs events for one log group over the last `since` (default 10m), via FilterLogEvents ('aws logs filter-log-events'). Returns events oldest first as {timestamp (ISO 8601 UTC), logStreamName, message (verbatim)}; any of the three is null on an event that arrived without it, which is kept rather than dropped. At most `maxEvents` come back (default 500, max 10000); when the window held more, the OLDEST are dropped and `truncated` is true. On AWS CLI 2.35.8+ the read goes newest-first and stops once it has enough, so a busy group costs a page or two -- and a truncated result reports `totalEvents: null` because the rest was never read. Older CLIs read the whole window (exact `totalEvents`); narrow `since` or add `filterPattern` if a wide window times out. `logGroupName` takes a bare name or a log-group ARN in the call's region; an ARN is sent as logGroupIdentifier, so a source-account ARN works from a cross-account monitoring account (AWS CLI 2.9.15+). Does not stream: call again for newer events. eventId and ingestionTime are omitted -- use aws_call for them.- +16 more on the listing page
Sugra API tools 8
sugra_entity_screenScreen a person or organization name against the Sugra sanctions corpus. Returns a SCREENING SIGNAL, not a compliance determination. Sugra is a technology provider, not a sanctions authority or consumer reporting agency. PEP and adverse-media coverage is supplementary and non-comprehensive - a `clear` result is not proof of absence, and a `hit` is a candidate match to review, not a finding. Output is COMPACT to protect the agent context budget: `{status, matches:[{name, score, list, type}], disclaimer}`. The verdict `status` is one of `clear`, `review`, or `hit`. The heavy raw fields (match rationale, source ids, publish dates) are dropped; use the Sugra API directly when the full screening envelope is needed. Args: name: The person or organization name to screen (required). country: Optional ISO 3166-1 alpha-2 country to narrow the match. dob: Optional date of birth (YYYY-MM-DD) for a person. nationality: Optional nationality to narrow the match.sugra_entity_lookupResolve an entity by identifier and return its composed KYB envelope. `anchor` is `lei` (Legal Entity Identifier, resolved via the GLEIF registry) or `vat` (EU VAT number, validated via the EU VIES service). The result weaves identity, a sanctions screening signal, and - on request - ownership and adverse-media slices. The screening verdict is a SCREENING SIGNAL, not a compliance determination, and any PEP / adverse-media content is supplementary and non-comprehensive. The `disclaimer` field carries this and is always present. Output is COMPACT by default to protect the agent context budget: `{entity:{name, anchor, value, status, country}, screening:{status, top_matches:[...3], hit_count}, ids:{...}, disclaimer}`. Pass `include` to opt INTO fuller per-slice detail, e.g. `include=["ownership","adverse_media"]` adds those slices in full form. On a bad anchor or an API error this returns a clean `{error, detail}` dict rather than raising, so the agent can branch on `result.get("error")`. Args: anchor: Identifier type, one of `lei` or `vat`. value: The identifier value (the 20-char LEI code or the VAT number). include: Optional list of fuller slices to add, e.g. `["ownership", "adverse_media"]`. Omit for the compact default.search_endpointsSearch the bundled Sugra endpoint catalog by natural-language query. Use this to pick an operation_id. It does not fetch data. Typical loop: 1. search_endpoints(query) -> ranked hits with required_parameters 2. describe_endpoint(operation_id) -> params, request_body_schema, agent_hints 3. call_endpoint(operation_id, params=..., body=...) or fetch_data(query, params=...) Filter with toolset or source only after list_toolsets / list_sources; a misspelled filter is an error, not a silent empty result. Examples: - search_endpoints("US CPI inflation") - search_endpoints("AAPL price", toolset="markets") - search_endpoints("container ship AIS", toolset="network")describe_endpointDescribe one Sugra API endpoint by operation_id. Includes agent_hints (duration_class fast/slow/heavy, max_concurrency, bulk billing) so you can budget timeouts and parallelism before calling. POST endpoints with a JSON body also carry request_body_schema (the resolved JSON schema) - construct the `body` argument from it instead of guessing key names. Call this after search_endpoints and before call_endpoint when you need the exact parameter names and examples.call_endpointCall a Sugra API endpoint by operation_id from the bundled catalog. Plan calls with describe_endpoint's agent_hints: duration_class "fast" usually responds in under ~2s, "slow" usually 1-5s and occasionally 15s+ on a cold upstream, "heavy" can exceed the gateway timeout - keep parallel calls within max_concurrency and prefer small batches. Bulk endpoints bill 1 request credit per body item. Failures return structured errors {error, reason, status_code, elapsed_ms, retry_hint}; after "upstream_timeout" a single retry often succeeds because the aborted attempt warms upstream caches.list_toolsetsList catalog groups with endpoint counts and short descriptions. Use the group names as the toolset filter on search_endpoints. This does not call the Sugra API; it reads the bundled catalog.fetch_dataOne-step fetch: find the best Sugra endpoint for the query and call it. Combines search_endpoints + call_endpoint into a single round trip. Use this when you want data without manually picking an operation_id. The full search_endpoints + describe_endpoint + call_endpoint dance is still available when you need explicit control, but for most natural-language queries this tool is enough. Behavior: 1. Search the bundled catalog for the query. Top match wins. 2. If the matched endpoint has required parameters and they are all provided in `params`, call it and return the response. 3. If required parameters are missing, return the candidate endpoints and the missing-params list so the LLM can retry with the correct `params` dict on the next call. Examples: - `fetch_data("US CPI inflation", params={"series_id": "CPIAUCSL"})` → calls /api/v1/fred/series/CPIAUCSL, returns observations. - `fetch_data("Bitcoin price", params={"coin_id": "bitcoin"})` → calls /api/v1/crypto/bitcoin/price. - `fetch_data("Latest financial news")` → news_latest has no required params, returns latest news directly.list_sourcesList source families in the bundled catalog with endpoint counts. Use the family names as the source filter on search_endpoints. This does not call the Sugra API.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
AWS MCP Server
{
"mcpServers": {
"aws-mcp-server-3": {
"command": "npx",
"args": [
"-y",
"@yawlabs/aws-mcp"
]
}
}
}
Sugra API
{
"mcpServers": {
"sugra-api": {
"command": "uvx",
"args": [
"sugra-api-mcp"
]
}
}
}
Frequently asked questions
AWS MCP Server is categorized under Cloud Platforms and uses a local stdio subprocess. Sugra API belongs to Cloud Platforms and uses a local stdio subprocess. Pick AWS MCP Server for cloud platforms work and Sugra API for cloud platforms.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
AWS MCP Server has no declared pricing — check the project's own site. Sugra API has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add aws-mcp-server-3 and sugra-api as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, AWS MCP Server has a quality signal of 64/100 (Good) with 1 views, 0 installs and 5 GitHub stars. Sugra API has 59/100 (Good) with 1 views, 0 installs and 3 GitHub stars.