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Glama

GPH Intelligence - Healthcare Vendor Finder

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Server Details

Find 76,000+ curated healthcare service vendors across 25 categories and all 50 US states.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
Crindo2/gph-mcp-server
GitHub Stars
0
Server Listing
GPH Intelligence - Healthcare Vendor Finder

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MCP client
Glama
MCP server

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Usage analytics

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Tool DescriptionsA

Average 4.7/5 across 3 of 3 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool has a distinct purpose: get_provider_detail retrieves full profile of a single provider; match_practice provides ranked recommendations for a practice; search_providers allows open-ended browsing and filtering. No overlap.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with underscores: 'get_provider_detail', 'match_practice', 'search_providers'. No mixing of styles.

Tool Count5/5

Three tools is appropriate for a healthcare vendor directory: one for detailed info, one for recommendations, and one for browsing. Not too few or too many.

Completeness5/5

The tool surface covers the key workflows: searching/filtering (search_providers), receiving recommendations (match_practice), and getting details (get_provider_detail). No obvious gaps.

Available Tools

3 tools
get_provider_detailGet Vendor Profile DetailA
Read-onlyIdempotent
Inspect

Get the full profile of one healthcare vendor by slug. Use this after match_practice or search_providers when the user asks to "tell me more about [vendor]", "what services does [vendor] offer", "is [vendor] verified", or wants contact info, services, reviews, or listing tier for a specific provider. Returns company_name, category (plus super_category grouping), description, services_tags (comma-delimited services offered), website, phone, city/state, quality_score (0-100), verified status, listing tier (free/paid), practice_size_fit, and reviews (review_count, average_rating). Slug comes from match_practice or search_providers results; returns an error if the slug is unknown.

ParametersJSON Schema
NameRequiredDescriptionDefault
slugYesProvider slug identifier (e.g. 'ams-solutions-inc-dallas-tx'). Obtained from match_practice or search_providers response.

Output Schema

ParametersJSON Schema
NameRequiredDescription
idsNoAbsent when isError.
countNoAlways 1 on success; absent when isError.
contentYes
isErrorNoPresent and true only when the slug is unknown or the fetch fails.
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds value by detailing the return fields (company_name, category, services_tags, etc.) and the error condition for unknown slugs. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single paragraph that front-loads the purpose and then provides usage guidelines and return information. While information-dense and efficient, the long list of user intents could be more structured or bulleted for readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With one parameter, good annotations, and an output schema (though not fully shown, but return fields are listed), the description covers purpose, when to use, what is returned, and error handling. It is complete for a detail-fetching tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% with a clear description for the slug parameter. The description adds context: 'Slug comes from match_practice or search_providers results; returns an error if the slug is unknown,' which goes beyond the schema's example and clarifies the origin and error behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description starts with 'Get the full profile of one healthcare vendor by slug,' clearly specifying the verb (get), resource (full profile of one healthcare vendor), and method (by slug). It also distinguishes from siblings by mentioning that the slug comes from match_practice or search_providers.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states 'Use this after match_practice or search_providers when the user asks to...' and lists specific user intents (e.g., 'tell me more about [vendor]', 'what services does [vendor] offer'). It also notes that the slug must be obtained from specific tools and that an error occurs if the slug is unknown, providing clear context for when to use this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

match_practiceRecommend Healthcare Vendors for a PracticeA
Read-onlyIdempotent
Inspect

Recommend and rank the best healthcare vendors for a specific medical practice. Use this when a practice manager, physician, or administrator asks for a recommendation, e.g. "recommend a medical billing / RCM company for my practice", "who should I use for credentialing / payer enrollment", "find an EHR for my small [specialty] practice", or "which practice-management software fits a [size] practice in [city, state]". Scores and ranks providers against the practice profile (specialty, size, location, EHR system, budget) and returns up to 5 merit-ranked matches (quality-scored, no paid placement) with {company_name, category, city, state_abbr, quality_score (0-100), final_score (0-100), verified status, description, website, profile_url, slug}. For open-ended browsing without a practice profile, use search_providers. Pass a match's slug to get_provider_detail for the full profile.

ParametersJSON Schema
NameRequiredDescriptionDefault
cityNoCity where the practice is located
stateYesTwo-letter state abbreviation (e.g. 'TX', 'CA', 'NY')
categoryYesService category needed (e.g. 'Medical Billing & RCM', 'Credentialing Services', 'Healthcare IT & EHR', 'Practice Management Software')
specialtyNoMedical specialty of the practice (e.g. 'Family Medicine', 'Cardiology', 'Pediatrics', 'Dermatology')
ehr_systemNoEHR system used by the practice (e.g. 'Epic', 'athenahealth', 'AdvancedMD', 'eClinicalWorks'). Helps score providers with compatible integrations higher.
budget_rangeNoApproximate monthly budget
practice_sizeNoSize of the practice by provider count

Output Schema

ParametersJSON Schema
NameRequiredDescription
idsNoAbsent when isError.
countNoTotal scored candidates before the top-5 slice; absent when isError.
contentYes
isErrorNoPresent and true only on failure (match request error or no candidates).
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond annotations (readOnlyHint, idempotentHint, destructiveHint), the description adds that results are merit-ranked, quality-scored, no paid placement, and up to 5 matches. No contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single paragraph that front-loads purpose and usage. It is fairly concise but could be more structured; some repetition of output details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (7 params, output schema exists), the description is complete: covers when to use, output structure, differentiation from siblings, and example queries.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description provides context via example queries but doesn't significantly add parameter semantics beyond the schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool recommends and ranks healthcare vendors for a medical practice with specific example queries. It distinguishes siblings (search_providers for open-ended browsing, get_provider_detail for full profiles).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says when to use (practice manager asks for recommendation) and when not (open-ended browsing: use search_providers). Also mentions passing slug to get_provider_detail for full profile.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

search_providersSearch the Healthcare Vendor DirectoryA
Read-onlyIdempotent
Inspect

Browse and filter the healthcare vendor directory. Use this for open-ended exploration, e.g. "show me medical billing companies in Texas", "list credentialing services", "what EHR vendors are there for cardiology", or when the user wants to page through options rather than get a scored shortlist. Paginated results filtered by category, location, minimum quality score, curated Tier-1 grade, and practice-size fit; returns a page of providers with {company_name, category, city, state_abbr, quality_score (0-100), verified status, contact info, slug}. For a scored recommendation to a specific practice profile, use match_practice instead. Pass a returned slug to get_provider_detail for the full profile.

ParametersJSON Schema
NameRequiredDescriptionDefault
cityNoCity name to filter by (partial match supported)
pageNoPage number for pagination (default 1)
stateNoTwo-letter state abbreviation (e.g. 'TX'). National providers always included.
categoryYesService category to search (e.g. 'Medical Billing & RCM', 'Credentialing Services')
per_pageNoResults per page (1-25, default 10)
min_ratingNoMinimum quality score (0-100). Most providers score 50-85.
tier1_gradeNoFilter to the curated Tier-1 provider set by grade: 'A' (top-graded) or 'B' (strong). Tier-1 is a hand-reviewed ~4,400-provider subset; most directory records are not Tier-1, so this narrows results sharply. Omit to search the full directory.
practice_size_fitNoFilter providers by the practice size they best serve.

Output Schema

ParametersJSON Schema
NameRequiredDescription
idsNoAbsent when isError.
countNoTotal matching providers across all pages; absent when isError.
contentYes
isErrorNoPresent and true only on failure.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. Description adds behavioral details: paginated results, filtering by category/location/quality/tier/practice-size, and national providers always included. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is informative but slightly lengthy. However, it is well-structured with front-loaded purpose, and every sentence adds meaningful context. Could be marginally more concise but effective.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool complexity (8 parameters, pagination, tier system) and presence of output schema, the description fully covers use cases, filtering options, and relationships to sibling tools. Provides sufficient context for correct selection and invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, but description adds significant value: explains state parameter ('National providers always included'), min_rating ('Most providers score 50-85'), tier1_grade (meaning and impact on results), practice_size_fit, and pagination defaults.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool's purpose: 'Browse and filter the healthcare vendor directory'. It provides specific examples ('show me medical billing companies in Texas') and distinguishes from siblings by noting that for scored recommendations, use match_practice instead.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly defines when to use this tool ('open-ended exploration', 'page through options') and when not to ('scored recommendation' -> use match_practice). Also mentions passing the returned slug to get_provider_detail for full profiles.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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