Pathways segmentation data reveals barriers to good health and informs targeted approaches to overcome them.
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MCP connect URL: https://mcp.withpathways.org/mcp
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Explore capabilities (19)
read 11
other 8
Load
8
Get
5
List
4
Search
2
List Segmentations
read
list_segmentations
List all available Pathways segmentations (country-level studies).
Each segmentation represents a population segmentation study for a specific country,
based on survey data (e.g., DHS or Pathways’ own surveys).
Use this tool to discover which countries and studies are available.
When referencing a segmentation in your responses, use the 'description' field,
as the 'code' is not meaningful to the user.
List Segmentations — List all available Pathways segmentations (country-level studies).
Each segmentation represents a population segmentation study for a specific country,
based on survey data (e.g., DHS or Pathways’ own surveys).
Use this tool to discover which countries and studies are available.
When referencing a segmentation in your responses, use the 'description' field,
as the 'code' is not meaningful to the user.
Get Segmentation — Get full details of a segmentation including all its segments.
Returns segmentation metadata (country, source, methodology) plus
a list of all population segments with their vulnerability levels
and prevalence.
List Segments — List population segments for a segmentation, with optional filters.
Each segment represents a distinct group of women identified through
cluster analysis, with a vulnerability level (least/less/more/most)
and stratum (urban/rural).
Get Segment Profile — Get a comprehensive profile for a specific population segment.
This is the "who are these women?" view — returns the segment's
vulnerability level, prevalence, and key metrics organized into:
- **health_outcomes**: metrics linked to Themes (measurable health results
such as maternal health, nutrition, sexual and reproductive health).
- **vulnerability_factors**: metrics linked to Domains (structural and social
determinants such as household economics, social support).
To compare a segment
Get Segment Metrics — Get quantitative metrics (indicators, prevalence) for a segment or the sample total.
**Sample-total metrics**: metrics with no segment represent the weighted
aggregate across all sample respondents (not a census). Omit segment_code
to retrieve them. Use these as a baseline to compare individual segments.
**Segment-level metrics**: pass a segment_code to retrieve metrics for a
specific population group.
Metrics fall into two categories:
- **Health Outcomes**: linked to Themes (e.g., maternal_h
Search Variables — Search and filter variables (indicators) for a segmentation.
Variables are quantitative indicators measured in a segmentation study.
They can be health outcomes (e.g., "No current modern FP use") or
vulnerability factors (e.g., "Education level").
Get your MCP into directories
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Pathways segmentation data reveals barriers to good health and informs targeted approaches to overcome them.
How do I connect Pathways | Welcome to my AI agent?
Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.
How many tools does Pathways | Welcome provide?
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Search Variable Associations — Find statistical associations between health outcome variables and vulnerability factors.
Associations are stored directly on the Variable collection as recursive
many-to-many relations with pvalue and categorical_pvalues on the relation:
- significant_vulnerabilities: vulnerability factor variables significantly
associated with a given health outcome variable.
- significant_outcomes: health outcome variables significantly associated
with a given vulnerability factor variable.
For categori
List Themes And Domains — List all health themes (Health Outcomes) and vulnerability domains (Vulnerability Factors).
- **Themes** relate to **Health Outcomes**: measurable health results such as
Maternal Health, Nutrition, or Sexual and Reproductive Health.
- **Domains** describe sets of **Vulnerability Factors**: structural and social
determinants that explain why a segment is vulnerable, such as Household
Economics or Social Support.
Use theme codes to filter health outcome metrics and domain codes to filter
v
List Regions — List sub-national regions for a segmentation's country.
Regions are administrative areas within a country. The geometry
(GeoJSON) is excluded to keep the response small.
Get Geographic Distribution — Get the geographic distribution of population segments across regions.
Each record shows what percentage of a region's population belongs to
a given segment. Use this to answer questions like:
- "Which regions have the highest concentration of the most vulnerable segment?"
- "How are the segments distributed across Dakar?"
- "Where is segment R2 most prevalent?"
Supply only segmentation_code to get the full distribution matrix.
Filter by segment_code to rank regions for a specific segment.
Fil
Get Segment Digital Personas — Augment a Pathways segment with its Digital Personas profile.
Call this tool for any query involving digital interventions, including
channel selection, modality design, reach strategy, feature scoping,
onboarding, and assessments of whether digital is the right approach for a
given population.
This tool is always used alongside Pathways segment data, never instead of
it. Pathways tells you who the women are and the vulnerability conditions
shaping their lives. Digital Personas tells you how d
Load Lens — Load the Pathways analytical lens (six-domain vulnerability framework).
Load this resource at the start of EVERY query that involves vulnerability
analysis, segment interpretation, intervention design, or qualitative life
stories.
Defines:
- The six-domain vulnerability framework (Personal History, Household
Dynamics, Economic Stability, Social Capital, Structural Environment,
Biological Health)
- Three temporal patterns of vulnerability (childhood launch,
accumulation, intergenerational
Load Interventions — Load the Pathways intervention design framework.
Load when the query involves designing, evaluating, prioritising, or
critiquing programmes or interventions for women in specific Pathways
segments.
Covers:
- Three intervention levels (Individual/Household, Community/Social
Norms, Structural/Systems)
- Segment-specific logic for identifying friction points in the
Journey of Care
- Four archetype-based intervention profiles
- The transformative vs transactional distinction
- Cross-sector int
Load Ethics — Load the Pathways ethical framework for data use and communication.
Load when the query involves:
- How to present or communicate Pathways findings about specific women
or communities
- Requests to use segment data in ways that may stigmatise, expose, or
surveil vulnerable populations
- Questions about consent, data governance, or cultural sensitivity
- Any use of Walk in Her Shoes testimonies for advocacy, fundraising,
or publication
- AI-specific dilemmas about how to reason about or re
Load Awihs Kenya — Load qualitative life stories from Kenya (Walk in Her Shoes).
Load when the query involves qualitative life stories, contextual
grounding, or segment analysis for Kenya.
Profiles included (Kenya stories reference rural/urban setting only —
they are NOT mapped to specific Kenya segmentation segment codes):
- Amina — 19, Wardey, Tana River County. Rural pastoralist,
polygamous marriage, low decision-making power.
- Maggy — 30, Mathare, Nairobi. Urban informal settlement,
female-headed househ
Load Awihs Northern Nigeria — Load qualitative life stories from Northern Nigeria (Walk in Her Shoes).
Load when the query involves qualitative life stories, contextual
grounding, or segment analysis for Northern Nigeria.
Profiles included (each tagged with its Pathways segment):
- Hassana (segment R4) — 32, Warawa, Kano State. Rural, polygamous
household, large family size, less income-earning members.
- Zainab (segment U4) — 38, Sharada, Kano State. Urban high-risk;
sole earner after husband lost sight; polygamous, l
Load Awihs Bihar India — Load qualitative life stories from Bihar, India (Walk in Her Shoes).
Load when the query involves qualitative life stories, contextual
grounding, or segment analysis for Bihar, India.
Profiles included (each tagged with its Pathways segment):
- Parvati (segment R4) — 26, Darbhanga District. Migrant husband
(Delhi), four children, unstable income, non-professional work.
- Rinky Kumari (segment R3) — 24, Gaya District. Large joint
household (16 members); migrant husband (Mumbai); decisions m
Load Dp Lens — Load the Digital Personas analytical lens.
Load before interpreting output from get_segment_digital_personas. Defines
how to read persona profiles, the engagement ladder, and the relationship
between Pathways segments and persona distributions.
Requires Pathways segment context (segmentation + segment) to already be
established — load load_lens first if vulnerability framing is needed.
Load Dp Interventions — Load the Digital Personas intervention design guidelines.
Load when the query involves designing, evaluating, or prioritising digital
interventions informed by persona profiles (Relevance, Skills, Safety,
Affordability, Norms).
Load load_dp_lens before this. For broader health intervention design,
also load load_interventions (Pathways framework).
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